News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow r/LocalLLaMA community 10d ago The Chinese labs everyone lumps together are making four pretty different bets. I work at one of them. Every time a model drops from a Chinese lab the thread fills with people who already know who made it, and the guess is usually Alibaba. There was a thread here recently asking what separates the open source labs from the frontier labs. It ran to nearly sixty comments and hardly… 30 Simon Willison community 10d ago Devtools must be open source (exe.dev) My comment on Devtools must be open source (exe.dev) — Hacker News. One of the arguments for open source software for end-users has always been the freedom to examine and modify how that software works. The reality for most people - even expert programmers - has been that… 33 Hacker News — AI on Front Page community 10d ago Critical CVE issued for hallucinated SQLite vulnerability Article URL: https://research.jfrog.com/post/sqlite-critical-cves-or-llm-slops/ Comments URL: https://news.ycombinator.com/item?id=49154332 Points: 289 # Comments: 87 13 Hugging Face Daily Papers research 11d ago ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction Abstract Enterprise workflows increasingly rely on agents for schema-guided extraction: given a document and a user-defined schema, the agent faithfully follows the schema to produce the correct output with source evidence as grounding metadata. We present ExtractBench, a… 4 Hugging Face Daily Papers research 11d ago Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Abstract As large language models (LLMs) continue to advance in complex reasoning tasks, they have learned to heavily prioritize explicit conditions provided in the input. However, in everyday commonsense reasoning, this mechanism exposes a critical vulnerability which we term… 18 arXiv — Machine Learning research 11d ago Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations arXiv:2607.29158v1 Announce Type: new Abstract: We introduce implicit machine learning force fields (I-MLFFs), which replace explicit stacks of neural network layers with self-consistent fixed-point equations. In molecular simulations, this formulation enables intermediate… 26 arXiv — Machine Learning research 11d ago Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels arXiv:2607.29293v1 Announce Type: new Abstract: Accurate fault location is critical for distribution network reliability. However, increasing distributed energy resource (DER) penetration complicates fault location due to intermittent generation and bidirectional power flows… 26 arXiv — Machine Learning research 11d ago Sample Efficient Hierarchical Reinforcement Learning via Best Policy Identification arXiv:2607.29294v1 Announce Type: new Abstract: We present HBPI-UCRL, a model-based algorithm for hierarchical reinforcement learning (HRL) that learns high-level and low-level policies in parallel. HBPI-UCRL exploits the fact that a high-level transition corresponds to a… 4 arXiv — Machine Learning research 11d ago Cross-Resolution Semantic Learning for Graph Domain Adaptation arXiv:2607.29365v1 Announce Type: new Abstract: Graph Domain Adaptation (GDA) transfers predictive knowledge from labeled source graphs to unlabeled target graphs under distribution shift. Existing methods align representations or regularize graph structures, but do not… 32 arXiv — Machine Learning research 11d ago ALIVE: Warnings Before Exclusion in Budgeted Multi-Source Learning arXiv:2607.29400v1 Announce Type: new Abstract: A routing decision can be revised at the next transaction, but a latched source exclusion persists across later decisions. We ask what evidence should authorize these unequal-persistence actions when finite-population auditing and… 26 arXiv — Machine Learning research 11d ago TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion arXiv:2607.29459v1 Announce Type: new Abstract: Large-scale multivariate time series from heterogeneous IoT sensors demand accurate long-term forecasting for resource scheduling and predictive maintenance. While recent time series foundation models exhibit strong generalization,… 19 arXiv — Machine Learning research 11d ago GQ-FSL: Green Quantized Federated Split Learning arXiv:2607.29659v1 Announce Type: new Abstract: Deploying state-of-the-art deep neural networks (DNNs) at the wireless edge is severely bottlenecked by the strict energy and resource constraints of mobile devices. While federated split learning (FSL) mitigates on-device… 28 arXiv — NLP / Computation & Language research 11d ago TextCloak: Thwarting Unauthorized LLM Exploitation via RL-Driven Unlearnable Text arXiv:2607.28862v1 Announce Type: new Abstract: The rapid development of Large Language Models (LLMs) has led to significant advances across a wide range of language tasks, while simultaneously raising growing concerns about unauthorized data exploitation and privacy leakage.… 10 arXiv — NLP / Computation & Language research 11d ago FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation arXiv:2607.28934v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly involved in the distribution of scarce resources, raising concerns about biased allocations based on characteristics like race and gender. Recent LLM audits have produced inconsistent… 32 arXiv — NLP / Computation & Language research 11d ago Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives arXiv:2607.29188v1 Announce Type: new Abstract: Migrants traversing geographically distinct routes such as the Trans-Saharan and Balkan corridors often recount strikingly parallel lived experiences: police violence, smuggler exploitation, dangerous crossings, and family… 9 arXiv — NLP / Computation & Language research 11d ago Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation arXiv:2607.29250v1 Announce Type: new Abstract: Small language models (SLMs) are attractive for agentic deployment due to low latency, reduced cost, and on-device privacy, yet they struggle with tool-use tasks where training data is scarce and noisy. Unlike larger models, SLMs… 13 arXiv — NLP / Computation & Language research 11d ago Cross-Lingual Transfer for Machine Translation in Turkic Languages arXiv:2607.29355v1 Announce Type: new Abstract: Cross-lingual transfer is central to low-resource machine translation, but its behavior within closely related language families remains insufficiently characterized. We study transfer among five Turkic languages; Turkish,… 5 arXiv — NLP / Computation & Language research 11d ago TransMem: Transforming Hidden States into Memory for Large Language Models arXiv:2607.29032v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly operate over long interaction histories, where effective reasoning requires identifying and exploiting task-relevant evidence distributed across past observations and actions.… 29 r/LocalLLaMA community 12d ago What’s next for Qwen open-source releases? Been using Qwen 3.6 35B-A3B quite extensively lately and honestly, I’m pretty happy with it. Also tried a few community improvements like Ornith 1.0, which add some interesting tweaks. That said, I’m curious about what the community expects next from Qwen’s open-source roadmap.… 8 r/MachineLearning community 12d ago How Symmetric Are the Insides of a Go Network? [R] I just now posted a small research / ML interp study on symmetries inside the neural nets for an open source Go-playing program that I maintain ("KataGo"). The rules of Go are completely symmetric under rotation/reflection, but such symmetry is not enforced in the models - the… 4 llama.cpp releases dev-tools 13d ago b10206 llama : enforce the same K and V cache types for DeepSeek V4; enable FA if V cache is quantized ( #25871 ) llama : enforce the same K and V cache types for DeepSeek V4; enable FA if V cache is quantized llama : enforce the same K and V cache types for MLA models Co-authored-by:… 23 Hugging Face Daily Papers research 13d ago β-OPSD: Deriving with Policy Optimization, Training with Self-Distillation Abstract On-policy self-distillation (OPSD) is a promising approach to improve reasoning language models, but it remains brittle in practice: making it work reliably often requires substantial engineering effort. We identify a structural source of this difficulty: vanilla OPSD… 27 Ars Technica — AI news-outlet 13d ago AI scammers outperform humans when it comes to building trust The AI chatbot was more effective at creating “exploitable trust” than the humans. 21 OpenAI official-blog 14d ago Univé builds an AI-ready workforce See how Univé built an AI-ready workforce with ChatGPT Enterprise by combining leadership, responsible governance, and employee-led innovation to transform work at scale. 28 arXiv — Machine Learning research 14d ago Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereum arXiv:2607.27370v1 Announce Type: new Abstract: Sybil attackers are Blockchain actors that adopt the characteristics of regular users to exploit airdrops or influence governance. Current methods of Sybil actor detection include constructing graphs, which requires token transfers… 10 arXiv — Machine Learning research 14d ago Sparsity Induced Identifiability in Matrix Tri-Factorisation arXiv:2607.27507v1 Announce Type: new Abstract: Matrix factorisation is a fundamental tool for exploiting low-dimensional structure in high-dimensional data, with applications such as data compression, denoising, structure discovery, interpretable representation learning, and… 19 arXiv — Machine Learning research 14d ago Building a User Foundation Model for the Open Web arXiv:2607.28019v1 Announce Type: new Abstract: User foundation models have demonstrated strong results in e-commerce and social recommendation, but most industrial deployments assume environments where user identity is stable and persistent. Open-web real-time bidding (RTB)… 7 arXiv — Machine Learning research 14d ago Multi-channel Uplift Policy Learning arXiv:2607.28182v1 Announce Type: new Abstract: E-commerce platforms must allocate fixed marketing budgets across multiple channels to maximize business utility. However, standard predict-then-optimize (PTO) paradigms fail in this compositional space due to observational… 34 arXiv — NLP / Computation & Language research 14d ago AI-assisted pre-review of open-source software submissions: an experience report from BOSC 2026 arXiv:2607.27228v1 Announce Type: new Abstract: Most conferences rely on peer-review of submissions, but as generative AI makes it easier than ever to prepare submission materials, some conferences are seeing an overwhelming surge of submissions. We wanted to see if generative… 19 arXiv — NLP / Computation & Language research 14d ago HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs arXiv:2607.27379v1 Announce Type: new Abstract: High-quality, diverse data are vital for large language models (LLMs) but remain scarce and costly. Data synthesis is a viable alternative and succeeds on closed tasks, yet the humanities and social sciences (HSS) are overlooked,… 15 arXiv — NLP / Computation & Language research 14d ago Gradient-free Task-Conditioned Retrieval for On-Device In-Context Learning arXiv:2607.27766v1 Announce Type: new Abstract: On-device in-context learning (ICL) relies on pre-inference retrieval to select demonstrations for useful context before downstream model inference. This retrieval must exploit task-specific information while operating over local… 21 arXiv — NLP / Computation & Language research 14d ago LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv:2607.28077v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves the reasoning capabilities of large language models, but prompt groups with identical rollout rewards consume generation budget without effective learning signals.… 27 arXiv — NLP / Computation & Language research 14d ago ORCA-bench: How Ready Are Language Model Agents for Oncall? arXiv:2607.28545v1 Announce Type: new Abstract: Large language models can write, patch, and search code, but oncall root cause analysis (RCA) demands something different: reasoning over noisy metrics, logs, traces, and source code, starting from ambiguous user-facing reports,… 18 arXiv — NLP / Computation & Language research 14d ago ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping arXiv:2607.27528v1 Announce Type: cross Abstract: Threat modeling is essential for secure software development, yet manual analysis of cloud-native architectures is slow and demands scarce security expertise. We present ThreatForest, a multi-agent system that generates… 34 r/LocalLLaMA community 14d ago Open Source Ternary LLM Engine in Rust/CUDA for Quantization, Serving, and Training of models on consumer GPUs, called Tritium (Apache 2.0) This post was not written by a clanker. Hey guys, I'm a comp sci major who wanted to introduce a cool project I built for quantizing models to ternary (1.58 bit) with as minimal of loss as possible, a process that can provide even more than 10x reductions in VRAM usage and much… 25 TechCrunch — AI news-outlet 14d ago Anthropic says its own AI models breached three companies during security tests After OpenAI's models broke into Hugging Face, Anthropic checked its own history and found three similar incidents 13 Simon Willison community 14d ago Investigating three real-world incidents in our cybersecurity evaluations Investigating three real-world incidents in our cybersecurity evaluations It happened again! This is turning into something of a pattern. Last week OpenAI accidentally exploited Hugging Face when one of their frontier models broke out of a sandboxed container and hacked into… 10 Hacker News — AI on Front Page community 14d ago Agent Skill to Force Docs in ASD-STE100 Simplified Technical English Article URL: https://github.com/AminBlg/SimpleEnglish Comments URL: https://news.ycombinator.com/item?id=49114639 Points: 221 # Comments: 83 38 r/LocalLLaMA community 14d ago America Needs An Open-Source AI Strategy — CNBC Pretty incredible to see open-weight become a mainstream discussion.   submitted by   /u/Recoil42 [link]   [comments] 38 TechCrunch — AI news-outlet 14d ago Okta buys AI security startup Permiso; source says for about $200M The deal gives Okta identity threat detection capabilities as enterprises seek to secure AI agents and other non-human identities across cloud environments. 35 TechCrunch — AI news-outlet 14d ago In the Hugging Face breach, OpenAI’s hacker was noisy and fast — but not unstoppable Cybersecurity experts told TechCrunch that one of the biggest lessons to be taken from the OpenAI hack against HuggingFace has nothing to do with AI, but traditional cybersecurity defense. 17 r/LocalLLaMA community 14d ago Turbo-fieldfare: Open-source engine running Gemma 4 26B in 2 GB RAM on Apple Silicon Its a custom Swift/Metal inference engine that runs Gemma 4 26B-A4B-IT on M-series Macs with very low RAM. It uses ~2GB instead of ~14 GB. The result is reportedly 5–6 tok/s on an 8 GB M2 MacBook Air and 31–35 tok/s on an M5 MacBook Pro. It also includes an OpenAI-compatible… 11 r/LocalLLaMA community 15d ago Think of the children, another excuse for them to go after open source AI Source: https://web.archive.org/web/20260728093051/https://www.theverge.com/ai-artificial-intelligence/971723/hugging-face-nudify-deepfake-undress-women-children   submitted by   /u/MaruluVR [link]   [comments] 33 Hugging Face Daily Papers research 15d ago GPT-Red: Automated Red Teaming via Self-Play at Scale Abstract We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production systems. To this end, we use it to adversarially… 27 arXiv — Machine Learning research 15d ago AgentGFM: A Graph Foundation Model with Node-Agent Information-Flow Control arXiv:2607.26533v1 Announce Type: new Abstract: Graph Foundation Models (GFMs) aim to learn transferable knowledge from multi-domain graphs and adapt to unseen scenarios. As a fundamental source of relational semantics in graphs, the transferability of topological patterns has… 28 arXiv — Machine Learning research 15d ago TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting arXiv:2607.26854v1 Announce Type: new Abstract: Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak preparedness, and healthcare resource allocation. However, newly established surveillance systems often lack the historical data needed… 36 arXiv — Machine Learning research 15d ago Sky sphere representation in language models arXiv:2607.27092v1 Announce Type: new Abstract: We analyze whether language models of size ~100B have a representation of the night sky map that is decodable from their residual stream. We find that most of the considered open-source models do have such a representation, and it… 12 arXiv — NLP / Computation & Language research 15d ago GPT-Red: Automated Red Teaming via Self-Play at Scale arXiv:2607.26115v1 Announce Type: cross Abstract: We introduce \textbf{GPT-Red}, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production… 11 arXiv — NLP / Computation & Language research 15d ago Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation arXiv:2607.26286v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as general-purpose translation systems, but their behavior is usually evaluated under a single prompt shape: translate one source sentence into one target language. In practice,… 29 arXiv — NLP / Computation & Language research 15d ago Symphony of Bias: Exploring Gender Associations with Musical Instruments in Multimodal LLMs arXiv:2607.26355v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly embedded in everyday life and widely used for information seeking, raising concerns about their potential to perpetuate social biases and reinforce stereotypes. In this study, we… 38 Page 4 of 10 · 500 articles ← Newer Older →
