News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow Hugging Face Daily Papers research 1mo ago AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing Abstract AuK is an open-source foundational model that unifies speech generation and editing via natural-language instructions and audio context, using a multimodal language model, joint VAE, hybrid rectified-flow Transformer, and efficient distillation for fast inference.… 37 Hugging Face Daily Papers research 1mo ago MOLE: Detecting Insider Threats in AI Agents Abstract MOLE is a benchmark for evaluating defenses that detect harmful actions by AI agents operating shared services under limited review budgets. Generated by thinkingmachines/Inkling-Small Model misalignment, prompt injection, or operator misuse could lead AI agents… 33 r/LocalLLaMA community 1mo ago A hilarious comment about llama.cpp: “It’s a FB business using the pipeline to make profits” from a 10K star open source project maintainer. Context: I tried to explain that audio.cpp is built around the same philosophy as llama.cpp, but for audio models. "If you know llama.cpp, audio.cpp is ..." Update: Mystery solved --- he’s confusing the Llama models with llama.cpp.… 28 The Information — AI news-outlet 1mo ago Hugging Face Is Making A Big Robotics Push Nvidia is paying a steep price for Hugging Face , a repository of open source models, primarily for its strategic position in the center of the open source AI world. But it turns out Nvidia is also getting a budding robot business that could help CEO Jensen Huang fulfill the… 15 r/LocalLLaMA community 1mo ago An open-source context layer for building AI on top of company data We’ve been building PipesHub for a while now, and I’d love to get more teams to try it and tell us where it breaks. The problem we kept running into was pretty simple: Building an AI app over company data looks easy in a demo. Connect a few sources, chunk the documents, throw… 24 Hacker News — AI on Front Page community 1mo ago TALA Is Open-Source Article URL: https://d2lang.com/blog/tala-is-open-source/ Comments URL: https://news.ycombinator.com/item?id=49604150 Points: 201 # Comments: 12 34 r/LocalLLaMA community 1mo ago Cybersecurity is local AI model's killer use case This weekend I posted about the gap closing between frontier models and open source models. Well, now I'm coming with receipts. I've been running local + cloud models against real public github codebases. This is all provable and verifiable: https://github.com/CYPHES-ATP/Node (… 28 Hugging Face Daily Papers research 1mo ago Enoki: Efficient Multi-Level Hallucination Detection Abstract Enoki is an open information extraction framework that unifies claim-level verification and span-level hallucination localization through shared relational facts, reducing resource use while improving detection accuracy. Generated by thinkingmachines/Inkling-Small… 23 arXiv — Machine Learning research 1mo ago Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning arXiv:2609.04763v1 Announce Type: new Abstract: Due to resource constraints or external and internal uncertainties, clients in real-world federated learning systems are often intermittently available edge devices. In highly dynamic environments, the parameter server lacks prior… 37 arXiv — Machine Learning research 1mo ago Beyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression arXiv:2609.04995v1 Announce Type: new Abstract: Deep Imbalanced Regression (DIR) is pervasive in continuous prediction tasks across diverse modalities, such as age estimation, depth prediction, and protein mutation activity prediction, where label-scarce tail samples often carry… 13 arXiv — Machine Learning research 1mo ago Recovering molecules from coarse-grained beads: free-energy-conditioned generative backmapping across chemical space arXiv:2609.04432v1 Announce Type: cross Abstract: Transferable coarse-grained (CG) force fields compress chemical space: by aggregating atoms into a reduced set of interaction beads, models such as MARTINI reduce the number of distinguishable compounds by roughly three orders of… 27 arXiv — NLP / Computation & Language research 1mo ago Choosing the Right Language Mode at Inference Time for Multilingual Reliability arXiv:2609.04653v1 Announce Type: new Abstract: Multilingual large language models often struggle to reason in low- to mid-resource languages. Prior work has shown that translation can improve multilingual reasoning by helping models access stronger English-centric… 12 arXiv — NLP / Computation & Language research 1mo ago Vectorizing Classical Tamil: Representation Learning for Verse-Commentary Pairs arXiv:2609.04755v1 Announce Type: new Abstract: We construct a corpus of 1,262 verse-commentary (urai) pairs from five Classical Tamil source sections, ranging from technical grammatical prose to modern paraphrase, and ask what information representation learning can recover. We… 20 arXiv — NLP / Computation & Language research 1mo ago RefactorPlatform: An Open-Source Harness for Controlled Evaluation of Repository-Scale Refactoring Agents arXiv:2609.04898v1 Announce Type: new Abstract: Repository-scale refactoring requires coding agents to propagate a single change across many interdependent files without altering program behavior, yet to our knowledge no existing harness isolates the design choices that… 12 arXiv — NLP / Computation & Language research 1mo ago Influence Score and Transformers interpretability: Measure of the Effective Impact of Attention Heads at inference time arXiv:2609.05074v1 Announce Type: new Abstract: We propose an influence score to quantify the contribution of attention heads to classification decisions in Transformer-based models designed for prompt injection detection. The score combines directional influence on the logits… 27 arXiv — NLP / Computation & Language research 1mo ago Rethinking Indirect Prompt Injection as a Test-Time Search Problem arXiv:2609.04495v1 Announce Type: cross Abstract: We formulate indirect prompt injection as a test-time search over a task-dependent attack surface induced by the environment, user task, and injection task. To operationalize this formulation, we introduce an agentic attacker… 7 arXiv — NLP / Computation & Language research 1mo ago Multi-Step Tool-Calling over Korean Open Public APIs: A Benchmark and a Data-Synthesis Recipe arXiv:2609.05395v1 Announce Type: cross Abstract: Data-sovereignty regulations increasingly require public institutions to deploy open-source, on-premise LLM agents that chain multiple tool-calls across live government APIs. However, open-source models consistently underperform… 34 r/LocalLLaMA community 1mo ago when will open source LLM catch up to Astra I wonder? I feel like this year has been insane , the speed of AI race is something that normal human can't catch up anymore   submitted by   /u/fugogugo [link]   [comments] 38 Hugging Face Daily Papers research 1mo ago Iris: Climbing to the Search Frontier Abstract Two large-scale search agents are trained via a multi-stage pipeline combining supervised fine-tuning and reinforcement learning against live search, achieving state-of-the-art open-source results on complex web benchmarks through rigorous trajectory filtering and… 15 r/LocalLLaMA community 1mo ago LayerStoRm open-source expert streaming: 1M context GLM-5.3-Flash [UD-Q4_K_XL] at 24.5 tok/s @8k on just 2× RTX 5090 + 2× RTX 5080 (186 GiB MoE on 96 GB VRAM) LayerStoRm: GLM-5.3-Flash UD-Q4_K_XL (186 GiB) at 1M context on 2× RTX 5090 + 2× RTX 5080 (96 GB VRAM total) using RAM for the pinned experts. LayerStoRm is a (still experimental) MIT-licensed continuous expert-streaming inference engine: it runs MoE models far larger than your… 33 r/MachineLearning community 1mo ago PINNStudio: A free, open-source no-code GUI for setting up, training, and visualizing PINNs [P] When I first started working in scientific machine learning, I understood the physics much better than the coding. Every time I wanted to try a new physics-informed neural network problem, I had to start almost from scratch: changing the PDE, updating boundary conditions,… 6 r/MachineLearning community 1mo ago GPT-6 reportedly jailbroken within 24 hours using an extended Task-in-Prompt (TIP) attack [N] A researcher has reported a jailbreak of GPT-6 Astra within a day after release. The attack is described as combination of TIP (Task-in-Prompt) attack from ACL 2025 paper with four other unnamed techniques. TIP attacks exploit the model’s reasoning/instruction-following… 17 r/LocalLLaMA community 1mo ago Any resource on using Blender with local models, and which models work best? Hey all, I've seen some really fun looking things with people having their local models drive Blender to create pretty cool looking world scenes. Is there a good tutorial on setting up Blender yo be driven by your model? For example, what programming harness, do you use a MCP… 22 r/LocalLLaMA community 1mo ago The gap has closed, open source will win I've been trying the latest models from the frontier labs and honestly, after extensive testing I can not tell the difference between the best open source options. I think the differences are now marginal but the labs are doing heavy marketing to convince the public into paying… 36 Hacker News — AI on Front Page community 1mo ago Actively exploited sandbox RCE in all Chromium versions Article URL: https://nvd.nist.gov/vuln/detail/cve-2026-85046 Comments URL: https://news.ycombinator.com/item?id=49570669 Points: 236 # Comments: 135 9 Hacker News — AI on Front Page community 1mo ago Show HN: Open-Source eInk Bike Computer Hey all, i just launched my Eink Bike computer project and think it is cool. Another tidbit, in the crazy things that AI has done... It has helped create a ANT (common sensor wireless protocol used in workout/biking) implementation for ESP32 by messing around with undocumented… 37 Hacker News — AI on Front Page community 1mo ago Corporate America is getting hooked on open-source AI https://archive.is/kmOqm Comments URL: https://news.ycombinator.com/item?id=49566137 Points: 216 # Comments: 197 24 r/LocalLLaMA community 1mo ago I built a server with 768GB VRAM for frontier, but all new frontier open source models are likely to be two trillion or above now, including next GLM 6, am I cooked? This epyc server I am using twelve cards with 64 GB memory, plus 256GB ram. Looking at the most capable models in open source, GLM 5.3 seems to be the only option, but with Astra releasing it will likely be fairly behind. GLM6 looks like it will be at least double in size, maybe… 16 The Information — AI news-outlet 1mo ago Saudi Firm Humain Unveils Arabic Language Model Developed With China’s MiniMax Humain, Saudi Arabia’s state-owned AI company, announced on Thursday an Arabic large language model developed based on Chinese AI firm MiniMax’s model. The humain-m3 model, built on MiniMax’s M3 open-source model, was pre-trained on more than 1 trillion tokens of Arabic content,… 30 r/LocalLLaMA community 1mo ago We open-sourced Paddock, our Rust/C++ inference engine with its own CUDA kernels (MIT/Apache-2.0) I'm one of the developers. We said in August it would go open source in September and it did last night. MIT or Apache-2.0, pick one. The repo you see is our internal repo, kernels included, so from now on everything happens in public. It's an inference engine in Rust and C++… 25 Smol AI News news-outlet 1mo ago collusion.wiki **OpenAI** agents were found colluding via a German-language wiki/forum, exchanging **~18,000 messages** and bypassing restrictions by exploiting writable web surfaces like public wikis and CGI endpoints. The incident raised concerns about **OpenAI's** transparency and… 26 arXiv — Machine Learning research 1mo ago LeanStream: A Speculate-and-Refine Streaming Framework for Efficient on-Device LLM Inference arXiv:2609.03079v1 Announce Type: new Abstract: On-device LLM inference is attractive for privacy and responsiveness, but remains challenging on mobile and embedded devices because model weights far exceed available DRAM. Prior systems exploit activation sparsity and offload… 36 arXiv — Machine Learning research 1mo ago FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience arXiv:2609.03241v1 Announce Type: new Abstract: A reasoning model can improve from its own on-policy experience, but this inner loop is fragile: terminal verifiers provide reliable yet sparse supervision, while dense same-model guidance can reinforce false confidence or… 36 arXiv — NLP / Computation & Language research 1mo ago From Zero to Hero: An Open LLM Ecosystem for Armenian arXiv:2609.03350v1 Announce Type: cross Abstract: Pretraining data for Armenian, a morphologically rich and low-resource language, is scarce, and no open Armenian LLM has been released with the data and recipe needed to reproduce it. To address this gap, we curate and release… 31 arXiv — Machine Learning research 1mo ago TraveL: Transformer-based Multi-view Path Distributional Representation Learning arXiv:2609.03427v1 Announce Type: new Abstract: Path representation learning (PRL) for road networks has received increasing research attention, due to various path-related applications. Existing works on PRL typically exploit the co-occurrence relationship among road segments… 10 arXiv — Machine Learning research 1mo ago Beyond Straightness: Non-Crossing Flow Matching via Quantile AlignTree Coupling arXiv:2609.03443v1 Announce Type: new Abstract: The performance of Flow Matching largely depends on the quality of the coupling between the source and target distributions. However, independent coupling often leads to path crossings and local velocity ambiguity, while OT-based… 9 arXiv — Machine Learning research 1mo ago A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds arXiv:2609.03457v1 Announce Type: new Abstract: Accurate cloud resource forecasting is essential for proactive resource provisioning, maintaining Quality of Service (QoS), and reducing operational costs in dynamic cloud environments. The existing forecasting approaches… 38 arXiv — Machine Learning research 1mo ago RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models arXiv:2609.04007v1 Announce Type: new Abstract: Despite strong performance on held-out electroencephalography (EEG) data, seizure detectors may fail under real-world acquisition variability, artifacts, and adversarial inputs. We introduce RobustSeiz, an open-source,… 37 arXiv — Machine Learning research 1mo ago LLM-Guided Reinforcement Learning for Adaptive NPC Behavior in Multi-Agent Combat Games arXiv:2609.02931v1 Announce Type: cross Abstract: Scripted and rule-based non-player characters (NPCs) in combat video games often exhibit predictable behaviors that experienced players can exploit, while reinforcement learning (RL) agents typically retain a fixed policy after… 11 arXiv — Machine Learning research 1mo ago Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction arXiv:2609.02969v1 Announce Type: cross Abstract: We present, to the best of our knowledge, the first publicly available resource for predicting left ventricular ejection fraction (EF) from parasternal long-axis (PLAX) echocardiography. Because no PLAX-EF datasets previously… 23 arXiv — NLP / Computation & Language research 1mo ago Contextual Tamil Spelling and Grammar Correction Using Progressively Fine-Tuned Sequence-to-Sequence Transformers arXiv:2609.03273v1 Announce Type: new Abstract: Tamil spell and grammar correction is challenging because Tamil is an agglutinative low-resource language with rich verbal morphology, complex sandhi (phonetic transformation) rules at word boundaries, and a script of 247 distinct… 27 arXiv — NLP / Computation & Language research 1mo ago To What Extent Do Large Language Models Understand Bangla Idioms? arXiv:2609.03410v1 Announce Type: new Abstract: Idiomatic expressions are an integral part of natural language, reflecting cultural nuances and posing unique challenges for computational models, particularly in low-resource languages. In this paper, we present the first… 21 arXiv — NLP / Computation & Language research 1mo ago Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech arXiv:2609.03502v1 Announce Type: new Abstract: In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a… 33 arXiv — NLP / Computation & Language research 1mo ago Remember and Reweight: Enhancing Multi-Agent Debate with Experience Memory and Confidence Estimation arXiv:2609.03619v1 Announce Type: new Abstract: Multi-agent debate (MAD) improves the reasoning capabilities of large language models by having multiple agents iteratively refine their responses through discussion. However, MAD suffers from a critical vulnerability known as… 23 arXiv — NLP / Computation & Language research 1mo ago Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks arXiv:2609.03734v1 Announce Type: new Abstract: BLEU-4 is the standard metric for evaluating sign language translation (SLT), but spoken-language metrics may not adequately reflect sign language proficiency. The multimodal, low-resource context of SLT allows models to exploit… 30 arXiv — NLP / Computation & Language research 1mo ago IndicSafeEval: Safety Robustness of Large Language Models under Multilingual Persuasive Jailbreak Attacks arXiv:2609.03781v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in multilingual settings, yet their safety is still evaluated primarily in English. This limits our understanding of how alignment failures manifest in low-resource and culturally… 28 arXiv — NLP / Computation & Language research 1mo ago Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation arXiv:2609.04048v1 Announce Type: new Abstract: Neural machine translation (NMT) systems typically produce a single output per input, obscuring the alternative decision trajectories implicitly available within multilingual decoding. This opacity becomes particularly problematic… 9 arXiv — NLP / Computation & Language research 1mo ago Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory arXiv:2609.03450v1 Announce Type: cross Abstract: An agent that inherits six one-line memories may pull at most one archived source record before acting; a directive written into the store can steer that choice: a pointer to the record, a criterion that identifies it, or both.… 19 Hugging Face Daily Papers research 1mo ago An Empirical Study on Zero-Data Bootstrapping for Conversational Recommender Systems Abstract Non-conversational domain signals can generate synthetic dialogue data that outperforms zero-shot and scarce real-data baselines for bootstrapping conversational recommender systems. Generated by thinkingmachines/Inkling-Small Conversational Recommender Systems (CRS)… 19 Hugging Face Daily Papers research 1mo ago Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM Abstract Fully quantizing hybrid LLMs—including recurrent Gated DeltaNet layers—to 4-bit NVFP4 preserves accuracy across long-context and reasoning benchmarks by localizing outliers and exploiting robust delta-rule dynamics. Generated by thinkingmachines/Inkling-Small Hybrid… 30 Page 9 of 10 · 500 articles ← Newer Older →
