News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow arXiv — Machine Learning research 18d ago LunarFM: A Shared Multimodal Representation of the Moon's Surface arXiv:2607.22408v1 Announce Type: new Abstract: The renewed global focus on lunar exploration, driven by the prospect of in-situ resource utilization and a sustained human presence on the Moon, has created growing demand for accurate, large-scale characterization of the lunar… 25 arXiv — Machine Learning research 18d ago Hyperball May Not Be a Free Lunch arXiv:2607.22444v1 Announce Type: new Abstract: For scale-invariant deep networks, Hyperball-style optimizers have shown strong performance in large-scale training by fixing the norms of matrix-valued parameters and normalizing updates. However, the source of their advantage… 20 arXiv — Machine Learning research 18d ago Susceptible Reservoir Architectures for Regime-Conditional Volatility Forecasting arXiv:2607.22491v1 Announce Type: new Abstract: Volatility forecasting is dominated by persistence and measurement noise, leaving limited residual structure for nonlinear models to exploit. We introduce Susceptible Architectures (SUSA), a reservoir-design principle for… 35 arXiv — Machine Learning research 18d ago Prior laundering: learned priors with inherited, undetectable overconfidence arXiv:2607.21721v1 Announce Type: cross Abstract: Learned generative priors are increasingly used for ill-posed Bayesian inverse problems, their posterior uncertainty treated as earned from data. But training one requires truths, scarce in seismic and medical imaging, so the… 27 arXiv — NLP / Computation & Language research 18d ago Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms arXiv:2607.21780v1 Announce Type: new Abstract: Document packets, multiple documents concatenated into a single file, are common in government and administrative workflows, yet splitting them into their constituent documents is difficult, especially for low-resource languages.… 31 arXiv — NLP / Computation & Language research 18d ago Biomedical Machine Translation for Low-Resource Arabic-Script Languages via Cross-Lingual Transfer and LoRA Adapter Merging arXiv:2607.22300v1 Announce Type: new Abstract: We present a systematic study of healthcare-domain cross-lingual transfer to address the scarcity of biomedical NMT resources for Arabic-script languages. We use Arabic and Persian as higher-resource pivots to improve translation… 37 arXiv — NLP / Computation & Language research 18d ago A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Books arXiv:2607.22376v1 Announce Type: new Abstract: Most endangered languages lack the parallel data required for machine translation, despite the existence of descriptive grammar books. We introduce a pipeline that uses large language models to extract grammatical rules, example… 6 Vercel — AI dev-tools 18d ago DeepsecBench: evaluating model performance in finding cybersecurity vulnerabilities Last week, OpenAI evaluated two models on an exploit benchmark within an isolated sandbox. Guardrails were reduced for testing, and the models found a vulnerability in their environment, accessed the internet, and reached Hugging Face's production database. No human directed the… 30 Vercel — AI dev-tools 18d ago Nuxt July 2026 security advisory The Nuxt team has released Nuxt 4.5.1 and 3.21.10, along with @nuxt/devtools 3.3.1, to address eight security advisories, including a high-severity server-side remote code execution vulnerability. Vulnerabilities addressed Vulnerability Severity Advisory Server-side remote code… 30 r/LocalLLaMA community 18d ago [OSS] Use case only possible with local inference at its core: an on-device LLM understands your entire life, then proactively offers to get your work done through computer use! Open-source & free :D Hey r/LocalLLaMA ! :D I wanna share a really cool fully OSS thing I've been building that's only possible with local models: truly proactive AI! All your existing LLM systems waits for a prompt. Truly proactive AI has to read your entire life, every single day (every file,… 19 r/LocalLLaMA community 18d ago Sources: OpenAI and Anthropic quietly lobby Washington regulators to restrict open-source AI models, even as Sam Altman publicly says he supports open source AI   submitted by   /u/pscoutou [link]   [comments] 15 r/MachineLearning community 19d 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 19d 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 19d 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 19d 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 20d 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 20d 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 20d 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 20d 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 20d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 21d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 Page 6 of 10 · 500 articles ← Newer Older →
