News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow r/MachineLearning community 1mo ago Understanding GPU Inference Workloads [D] Hey everyone, I have been looking into how people source compute for their Inference workloads (and in general). I wanted to understand some specific pain points here. If you've used online services like runpod or vast.ai , your perspective is extremely valuable. Please share… 20 r/LocalLLaMA community 1mo ago Karparthy removed Anthropic from his bio Andrej Karpathy, a prominent advocate for open-source AI and a co-founder of OpenAI, appears to have removed Anthropic from his X bio, suggesting he may have left the company. Karpathy joined Anthropic only a few months ago, making the apparent departure somewhat surprising.… 36 r/LocalLLaMA community 1mo ago Mobile Offline LLMs: What do you use them for? I've spent the last year or so playing around with open source MLX and GGUF models on iPhone hardware. Given the limitations in memory, GPU/CPU/ANE, and in turn the context window I've been trying to figure out the best use cases for them. I've also done a lot of testing with… 13 r/LocalLLaMA community 1mo ago Benchmarks: TensorSharp vs. llama.cpp Cuda and Vulkan Benchmark: TensorSharp vs. llama.cpp I would like to share my latest open source local Unsloth (GGUF) LLM inference engine and applications. It supports many models from Unsloth, like Gemma4, DiffusionGemma, Qwen3.6 with multi-modal (image, vision, audio), Qwen… 38 r/LocalLLaMA community 1mo ago DKV: Open-source KV-cache compression framework for local LLM inference (CLI + technical report) Hi everyone! Over the past five months I've been working on DKV (DifferentialKV), an open-source project exploring KV-cache compression for long-context local LLM inference. The goal is to reduce KV-cache memory requirements through anchor-based representations, joint low-rank… 21 Ollama releases dev-tools 1mo ago v0.32.4-rc0: model: add Laguna MLX support (#17237) model: add Laguna MLX support Add Laguna XS 2, XS 2.1, and S 2.1 support to the MLX model and create paths. Read the source config to apply one quantization policy across dense and routed MoE layers. Keep the tied output head and router at source precision, quantize supported… 19 r/LocalLLaMA community 1mo ago AMD Instella-MoE-16B-A3B https://huggingface.co/amd/Instella-MoE-16B-A3B-Think I was browsing HuggingFace and came across this model apparently uploaded a day ago, and thought to share it here. I've not tried it out yet, but it's good to see AMD joining the open source model game.   submitted by… 18 r/LocalLLaMA community 1mo ago It appears that the anti opensource AI lobby is far outgunned already The earlier post on this subreddit by 20+ companies signing the petition including Microsoft, Meta, Nvidia, YC ( https://www.microsoft.com/en-us/corporate-responsibility/topics/open-weight/ ) etc plus this https://xcancel.com/elonmusk/status/2080672505660834163 And the entire… 32 r/LocalLLaMA community 1mo ago Zagreus-0.4B-por a small open source language model for Portuguese mii-llm , an open source AI lab, released Zagreus-0.4B-por , a compact bilingual Portuguese–English language model pretrained entirely from scratch. The model has approximately 400 million parameters and is part of the Zagreus family, an ongoing experiment in building small open… 19 r/MachineLearning community 1mo ago I built an open-source multi-agent SDLC harness that beats a cold Claude Code run on large repos, by learning the repo once. Real benchmarks (incl. where it loses) inside. [P] Built an open-source AI coding agent that was 7%–75% cheaper than a cold "claude -p" run on 6/6 well-localized tasks across repositories up to ~82k LOC. The biggest difference: Cold agent: $6.83, 207 turns AutoDev Studio: ~$1.70 for the same bug The full benchmark (including… 14 Hugging Face Daily Papers research 1mo ago FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents Abstract Agentic Reasoning has become a transformative force in financial analysis due to its ability to integrate large-scale information and generate reliable and accurate content. However, when handling complex real-world problems, different agents still show significant… 12 arXiv — Machine Learning research 1mo ago Leveraging Biokinetic Knowledge Priors for Data-Scarce Bioprocess Modeling arXiv:2607.20539v1 Announce Type: new Abstract: While deep learning has accelerated drug discovery, its impact on biomanufacturing has been considerably more limited. The reason is data scarcity. Bioreactor experiments are high-cost, take days to weeks, and are rarely shared in… 17 arXiv — Machine Learning research 1mo ago Improving Access to Essential Medicines via Decision-Aware Machine Learning arXiv:2607.20542v1 Announce Type: new Abstract: A critical challenge in healthcare systems in low- and middle-income countries (LMICs) is the efficient and equitable allocation of scarce resources, particularly essential medicines. This problem is complicated by limited… 5 arXiv — Machine Learning research 1mo ago Explanation-Based Runtime Verification for Trustworthy ML-driven Optical Networks arXiv:2607.20675v1 Announce Type: new Abstract: Machine learning (ML) models are increasingly integrated into optical network automation frameworks to support tasks such as failure management, performance monitoring and resource allocation. In these environments, ML-driven… 18 arXiv — Machine Learning research 1mo ago From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python arXiv:2607.21069v1 Announce Type: new Abstract: The original ALPHA benchmark introduced a taxonomy-aware penalty for evaluating CWE-level vulnerability prediction in Python and proposed that the penalty could theoretically also serve as a training signal. This paper provides… 31 arXiv — NLP / Computation & Language research 1mo ago Making Open-Source Text LLM Watermarks Durable Against Merging arXiv:2607.20435v1 Announce Type: new Abstract: Open-source LLMs (OSMs)arereaching near state-of-the-art performance, prompting prior works to trace the text they generate by embedding text watermarking algorithms directly into their weights. Yet, OSMs are subject to… 5 arXiv — NLP / Computation & Language research 1mo ago TopoGuard: Graph Theory Based Defenses Against Split-Knowledge Attacks on RAG arXiv:2607.20437v1 Announce Type: new Abstract: Production Retrieval Augmented Generation (RAG) systems rely on aggregating multiple external documents to answer complex queries. However, the retrieved documents introduce a new threat surface that can be exploited to launch… 24 arXiv — NLP / Computation & Language research 1mo ago Naver-News-KO: A Korean News Summarization Dataset for Open-Source Fine-Tuning of Summarization Models arXiv:2607.20442v1 Announce Type: new Abstract: We release Naver-News-KO, a Korean news summarization dataset of 27,400 (document, summary) pairs collected from Naver News over a ten-day window in July 2022 across two categories (Economy and IT/Science; 77/23 split), with… 8 arXiv — NLP / Computation & Language research 1mo ago The Storyteller in the Model: Narrative Pattern Inheritance, Escalation Dynamics, and Alignment Governance in LLMs arXiv:2607.20449v1 Announce Type: new Abstract: LLMs are trained predominantly on human-authored text, yet the structural and narrative conventions embedded in that text are rarely examined as a source of systematic behavioral influence, or as a governance risk in deployed… 12 arXiv — NLP / Computation & Language research 1mo ago slang.gr as a Large-Scale Crowdsourced Resource for Non-Standard Greek arXiv:2607.21255v1 Announce Type: new Abstract: Slang is a central component of everyday language, reflecting linguistic creativity, social identity, and cultural change, yet its dy- namic and non-standard nature makes it difficult to model computationally. We present the first… 9 arXiv — NLP / Computation & Language research 1mo ago Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs arXiv:2607.21291v1 Announce Type: new Abstract: Large language models (LLMs) achieve strong generation and reasoning performance, but the Transformer architecture incurs high inference cost. Existing acceleration methods often rely on task-specific fine-tuning or training from… 10 arXiv — NLP / Computation & Language research 1mo ago Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin arXiv:2607.21332v1 Announce Type: new Abstract: Phonetic forced alignment is a key technique in phonetic research, yet existing alignment systems lack specialized models for low-resource language varieties. We address this by training text-dependent and text-independent aligners… 20 arXiv — NLP / Computation & Language research 1mo ago Transformer-Assisted LLM-Based Source Code Summarisation: to Enable More Secure Software Development arXiv:2607.20933v1 Announce Type: cross Abstract: Neural Source Code Summarisation (NSCS) aims to generate natural language summaries of source code to improve developers' and maintainers' understanding of code. Source code summaries are vital during the maintenance phase of the… 25 TechCrunch — AI news-outlet 1mo ago How AI guardrails are impeding the work of offensive cybersecurity researchers We spoke with several cybersecurity researchers, who look for unknown vulnerabilities and develop tools to exploit them, about how OpenAI’s and Anthropic’s guardrails affect their work. 36 Hacker News — AI on Front Page community 1mo ago Kimi K3 exploited the latest Redis server https://xcancel.com/fried_rice/status/2080059356322918777 Comments URL: https://news.ycombinator.com/item?id=49024938 Points: 216 # Comments: 58 6 Hacker News — AI on Front Page community 1mo ago The arguments against open source AI are bad Article URL: https://tombedor.dev/arguments-against-open-source-ai-are-very-bad/ Comments URL: https://news.ycombinator.com/item?id=49024643 Points: 203 # Comments: 144 20 r/MachineLearning community 1mo ago Prompt Injection in NeurIPS 2026? [D] The reviews were just released, and I downloaded my paper from OpenReview to identify areas that needed improvement. However, GPT warned me that the PDF contained a prompt injection. I never inserted such a prompt. After comparing my original submission with the version… 21 Hacker News — AI on Front Page community 1mo ago Learn OpenGL, extensive tutorial resource for learning Modern OpenGL Article URL: https://learnopengl.com/ Comments URL: https://news.ycombinator.com/item?id=49022634 Points: 250 # Comments: 127 26 Hacker News — AI on Front Page community 1mo ago DARPA, U.S. Air Force fly AI-controlled F-16 Article URL: https://www.darpa.mil/news/2026/darpa-us-air-force-fly-ai-controlled-f-16 Comments URL: https://news.ycombinator.com/item?id=49021597 Points: 250 # Comments: 277 25 TechCrunch — AI news-outlet 1mo ago Experts say exploiting Anthropic’s Fable isn’t how Kimi K3 got so good "I don't think you get a model this strong and this quickly on the heels of Fable doing strictly distillation," one expert told TechCrunch. 25 r/LocalLLaMA community 1mo ago Arcee AI has spoken out against the ban on open Chinese models in US This is rather counterintuitive, since banning Chinese models would benefit them the most. Jensen Huang is also against the ban , although the interests here are more obvious. Do you think that if Arcee, Cohere or Mistral release an open source GPT/Claude level model, they will… 20 Hugging Face Daily Papers research 1mo ago G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection Abstract This work introduces G-MAD, an open-source framework that uses Arma3 to generate synchronized multi-view RGB-T data for aerial object detection. G-MAD addresses key limitations of real-world aerial dataset construction, including limited viewpoint control, imperfect… 20 arXiv — Machine Learning research 1mo ago SCPP: A Unified Python Library for Soft Clustering arXiv:2607.19620v1 Announce Type: new Abstract: In this paper, we present SCPP (Soft Clustering Python Package), an open-source Python framework for soft clustering. SCPP establishes a canonical, scikit-learn-compatible estimator interface that standardizes model training,… 8 arXiv — Machine Learning research 1mo ago Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning arXiv:2607.19759v1 Announce Type: new Abstract: Federated learning (FL) over wireless networks suffers from significant training latency and degraded convergence due to unreliable wireless transmission, especially under blocked propagation environments. Although reconfigurable… 26 arXiv — Machine Learning research 1mo ago Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models arXiv:2607.19974v1 Announce Type: new Abstract: The rapid proliferation of data-intensive applications, cloud infrastructure, and IoT ecosystems has made proactive resource provisioning critical for maintaining optimal network performance. However, network administrators face a… 33 arXiv — Machine Learning research 1mo ago The Quadrilateral Loss: Additivity as a Measurable Behavior of Dense Neural Networks arXiv:2607.20201v1 Announce Type: new Abstract: Additive models buy interpretability by forbidding feature interactions, a constraint that neural instantiations enforce architecturally. We introduce the quadrilateral loss, a differentiable penalty that treats additivity as a… 37 arXiv — Machine Learning research 1mo ago Refnd: Preventing Data Leakage in Relational Datasets arXiv:2607.19376v1 Announce Type: cross Abstract: Machine learning models trained on biochemical data are routinely evaluated using splits that fail to account for relational structure, causing information leakage and over-optimistic performance estimates. Existing splitting… 19 arXiv — NLP / Computation & Language research 1mo ago Adaptive Capitulation: A Structural Failure Mode of LLM Responses in Vulnerability Contexts arXiv:2607.19629v1 Announce Type: new Abstract: Large language models operating in emotionally sensitive contexts face a structural trilemma: when users in vulnerable states request information that may reinforce maladaptive attribution, current response architectures resolve… 14 arXiv — NLP / Computation & Language research 1mo ago When Does Knowledge Distillation Hurt? Reliability-Aware Distillation for Low-Resource Language Summarization arXiv:2607.19956v1 Announce Type: new Abstract: Knowledge distillation (KD) is a standard approach for compressing sequence-to-sequence models, but its per-sample effects are rarely examined. On the BanSum Bangla summarization benchmark, we find that standard KD improves ROUGE-L… 28 arXiv — NLP / Computation & Language research 1mo ago Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies arXiv:2607.20056v1 Announce Type: new Abstract: Aspect-based sentiment analysis (ABSA) in Arabic must recover both explicitly stated aspects and implicit aspects that are never named in the text. Implicit identification typically relies on an auxiliary knowledge source (e.g., a… 4 arXiv — NLP / Computation & Language research 1mo ago Information Discernment in Large Language Models arXiv:2607.19355v1 Announce Type: cross Abstract: LLMs are increasingly used with external knowledge sources like the internet. Do they weigh information appropriately -- updating more for reliable sources (source discernment) and more when claims bring priors closer to the… 28 arXiv — NLP / Computation & Language research 1mo ago AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally arXiv:2607.19363v1 Announce Type: cross Abstract: Rotary Position Embedding (RoPE) is widely adopted in Transformers to encode positional information, yet standard implementations enforce a uniform frequency schedule and scaling across all attention heads. Using simplified… 10 arXiv — NLP / Computation & Language research 1mo ago Twin Agent: Context Residual Compression for Privilege Separated Agents arXiv:2607.19595v1 Announce Type: cross Abstract: Large language model (LLM) agents are vulnerable to security risks, such as prompt injection attacks from untrusted context that manipulate downstream reasoning and tool use. Existing secure-by-design approaches mitigate this… 30 arXiv — NLP / Computation & Language research 1mo ago Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study arXiv:2502.16022v3 Announce Type: replace Abstract: OpenNotes gives patients access to their EHR notes, but dense medical jargon limits comprehension. We evaluate closed-source and open-source LLMs for extracting and prioritizing the jargon terms most relevant to individual… 14 arXiv — NLP / Computation & Language research 1mo ago Simultaneous Speech-to-Speech Translation Without Aligned Data arXiv:2602.11072v2 Announce Type: replace Abstract: Simultaneous speech translation requires translating source speech into a target language in real-time while handling non-monotonic word dependencies. Traditional approaches rely on supervised training with word-level aligned… 25 arXiv — NLP / Computation & Language research 1mo ago Meta-Learning Preferences for Multilingual LLM Alignment arXiv:2607.13315v2 Announce Type: replace Abstract: Unequal availability of human preference data across languages poses a significant challenge for aligning large language models in multilingual settings. To address the lack of sufficient data in low-resource language… 29 Simon Willison community 1mo ago OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke its way out of OpenAI's sandbox, then found exploits to break in to Hugging… 36 r/LocalLLaMA community 1mo ago Introducing Antares: Highly Efficient Open Weight AI Models for Vulnerability Localization Seems pretty impressive for its size! That's the kind of thing I want to see more of, really small models that excel at specific fields.   submitted by   /u/suamai [link]   [comments] 19 Don't Worry About the Vase community 1mo ago OpenAI Model Hacks Into HuggingFace During Cybersecurity Evaluation This latest incident is a rather dramatic escalation in agentic AI cybersecurity breaches. 12 TechCrunch — AI news-outlet 1mo ago Arcee, a US open source AI lab, says Chinese models are not inherently dangerous As Chinese AI models grow in capability and popularity among US companies, the arguing over what should be done about them has reached a fever pitch. 23 Page 10 of 10 · 500 articles ← Newer
