Here's your daily roundup of the most relevant AI and ML news for September 28, 2026. We're also covering 6 research developments. Click through to read the full articles from our curated sources.
Research & Papers
1. Probabilistic Robustness-driven Universal Adversarial Perturbations with Explainability against Deep Reinforcement Learning-based Intrusion Detection System
arXiv:2609.30605v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) enables adaptive intrusion detection in dynamic network environments but also exposes intrusion detection systems (IDS) to adversarial threats such as universal adversarial perturbations (UAPs), which apply a singl...
Source: arXiv - Machine Learning | 10 hours ago
2. Persistent Negatives for Adversarial Black-Box On-Policy Distillation
arXiv:2609.30864v1 Announce Type: cross Abstract: Black-box On-Policy Distillation (OPD) seeks to improve a student from its own generations when the teacher provides sampled responses but not token probabilities. Adversarial distillation offers one route: it learns a discriminator over prompt-m...
Source: arXiv - AI | 10 hours ago
3. GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv:2602.12316v3 Announce Type: replace Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents, leaving multi-agent risks such as coordination failure and conflict poorly...
Source: arXiv - AI | 10 hours ago
4. Detecting Glaucoma Across Multi-ethnic Myopic and Non-Myopic Populations Using an Uncertainty-Aware Vision Transformer: A Multicentre Model Development and Validation Study
arXiv:2609.29433v2 Announce Type: replace-cross Abstract: Background: Artificial intelligence (AI)-based glaucoma detection from colour fundus photographs (CFP) offers scalable screening, but performance may decline on external datasets because of differences in ground-truth definitions, populat...
Source: arXiv - AI | 10 hours ago
5. Financial Fragility in Societies of LLM Agents: Coordination Failures and Stabilizing Mechanisms
arXiv:2609.30940v1 Announce Type: new Abstract: Individually protective decisions can produce avoidable collective failures. As large language model (LLM) agents take on greater roles in financial decision-making, financial AI safety must therefore be considered not only at the level of individu...
Source: arXiv - AI | 10 hours ago
6. Neural Ideals and Neural Codes: An Algebraic Framework for Neural Network Classification and Feature Interpretation
arXiv:2609.30279v1 Announce Type: new Abstract: Understanding the features captured by the hidden layers of neural networks is a fundamental challenge in machine learning, despite their widespread success across various classification problems. In this work, we propose an algebraic framework for...
Source: arXiv - Machine Learning | 10 hours ago
Tech & Development
7. 'Things Will Never Be Chill Again':The Doomers Who Shaped the AI Safety Freakout
Article URL: https://www.wsj.com/tech/ai/ai-safety-effective-altruism-anthropic-164b9d05 Comments URL: https://news.ycombinator.com/item?id=49877679 Points: 2
Comments: 0
Source: Hacker News - AI | just now
8. Google, OpenAI and Anthropic plan AI safety body, The Information reports
Article URL: https://thenextweb.com/news/standards-authority-frontier-ai-google-openai-anthropic Comments URL: https://news.ycombinator.com/item?id=49877627 Points: 2
Comments: 0
Source: Hacker News - AI | just now
About This Digest
This digest is automatically curated from leading AI and tech news sources, filtered for relevance to AI security and the ML ecosystem. Stories are scored and ranked based on their relevance to model security, supply chain safety, and the broader AI landscape.
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