Here's your daily roundup of the most relevant AI and ML news for June 10, 2026. We're also covering 8 research developments. Click through to read the full articles from our curated sources.
Research & Papers
1. Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games
arXiv:2606.10389v1 Announce Type: new Abstract: Recent advances in LLM-driven code evolution have enabled automated discovery by iteratively generating and improving programs. However, applying these methods to adversarial multi-agent games introduces a fundamental challenge: the evaluation land...
Source: arXiv - AI | 10 hours ago
2. Assessing Automated Prompt Injection Attacks in Agentic Environments
arXiv:2606.10525v1 Announce Type: cross Abstract: Indirect prompt injection poses a critical threat to LLM agents that interact with untrusted external data, yet automated attack methods--proven effective for jailbreaking--remain underexplored in realistic agentic settings. We present a comprehe...
Source: arXiv - AI | 10 hours ago
3. Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines
arXiv:2501.00745v3 Announce Type: replace-cross Abstract: The increasing integration of Large Language Model (LLM) based search engines has transformed the landscape of information retrieval. However, these systems are vulnerable to adversarial attacks, especially ranking manipulation attacks, w...
Source: arXiv - AI | 10 hours ago
4. The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring
arXiv:2606.10327v1 Announce Type: cross Abstract: Automated Essay Scoring (AES) systems must judge interdependent discourse elements (e.g., lead, claim, evidence, conclusion), yet most approaches treat these in isolation, harming coherence and generalization. We investigate task-aware fine-tunin...
Source: arXiv - Machine Learning | 10 hours ago
5. GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines
arXiv:2606.09935v1 Announce Type: cross Abstract: AI-powered agents are increasingly embedded in continuous integration and continuous delivery/deployment (CI/CD) pipelines to autonomously review pull requests (PRs), triage issues, and maintain codebases. These agents ingest untrusted content wh...
Source: arXiv - AI | 10 hours ago
6. Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies
arXiv:2606.10371v1 Announce Type: cross Abstract: Diffusion-based action generation has become a foundational component of embodied AI, but its reliance on visual conditioning leaves deployed visuomotor policies vulnerable to adversarial manipulation. Most prior attacks focus on disruption: they...
Source: arXiv - AI | 10 hours ago
7. Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction
arXiv:2606.10571v1 Announce Type: cross Abstract: Adversarial examples reveal vulnerabilities in Vision-Language Pre-training (VLP) models and provide insights for improving robustness. A key property is cross-model transferability, which enables transfer-based black-box attacks. However, existi...
Source: arXiv - AI | 10 hours ago
8. Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning
arXiv:2606.09866v1 Announce Type: cross Abstract: Fine-tuning safety aligned large language models (LLMs) on downstream data improves adaptation but may erode learned safety behavior. Existing methods use fixed safety examples, global constraints, or one-sided task filtering. Our diagnostics sho...
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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