Here's your daily roundup of the most relevant AI and ML news for June 06, 2026. Today's digest includes 2 security-focused stories. We're also covering 6 research developments. Click through to read the full articles from our curated sources.
Security & Safety
1. Miasma Worm Hits 73 Microsoft GitHub Repositories in Major Supply Chain Attack
Microsoft's GitHub repositories have become the latest to fall victim to the ongoing Miasma self-replicating supply chain attack campaign.
The incident impacted 73 Microsoft repositories across four of its GitHub organizations, including Azure, Azure-Samples, Microsoft, and MicrosoftDocs, per Op...
Source: The Hacker News (Security) | 7 hours ago
2. Claude Code GitHub Action Flaw Let One Malicious Issue Hijack Repositories
A security researcher found a flaw in Anthropic's Claude Code GitHub Action that let an attacker take over vulnerable public repositories running it, with nothing more than a single opened GitHub issue. Because Anthropic's own action repo used the same workflow, a working attack could have pushed...
Source: The Hacker News (Security) | 1 day ago
Research & Papers
3. GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection
arXiv:2606.05566v1 Announce Type: new Abstract: Large Language Models (LLMs) have transformed natural language processing, but they remain vulnerable to Prompt Injection (PI) and Jailbreak (JB) attacks. In addition, benchmark evaluations may be affected by contamination and partial information l...
Source: arXiv - AI | 10 hours ago
4. SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks
arXiv:2606.05609v1 Announce Type: cross Abstract: As large language models (LLMs) are widely deployed, identifying their vulnerability through jailbreak attacks becomes increasingly critical. Optimization-based attacks like Greedy Coordinate Gradient (GCG) have focused on inserting adversarial t...
Source: arXiv - AI | 10 hours ago
5. Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
arXiv:2503.01734v3 Announce Type: replace-cross Abstract: Attacks on machine learning models have been extensively studied through stateless optimization. In this paper, we demonstrate how a reinforcement learning (RL) agent can learn a new class of attack algorithms that generate adversarial sa...
Source: arXiv - AI | 10 hours ago
6. Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition
arXiv:2606.05678v1 Announce Type: cross Abstract: Automatic speech recognition (ASR) systems have become widely used for multilingual speech-to-text transcription. Their robustness to adversarial attacks has become an important topic for the community. Existing adversarial attacks directly add a...
Source: arXiv - AI | 10 hours ago
7. Learning of Robot Safety Policies via Adversarial Synthetic Scenarios
arXiv:2606.05952v1 Announce Type: cross Abstract: In this work, we propose an agentic gamification framework for hazard-informed learning of robot safety policies through synthetic scenarios. We model scenario generation as an adversarial game between two agents: a Red Team that explores the spa...
Source: arXiv - AI | 10 hours ago
8. ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer
arXiv:2606.05548v1 Announce Type: cross Abstract: The rapid proliferation of Agent Development Kits (ADKs), SDK-level frameworks for building LLM-powered autonomous agents, has outpaced any empirical understanding of how framework choice affects agent performance. We propose \textbf{LLM-as-a-Dev...
Source: arXiv - AI | 10 hours ago
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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