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Notes on adversarial attacks
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Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy
Researchers propose a verification layer using large language models (LLMs) to ensure the feasibility and ethical alignment of actions planned by robot autonomy systems. The system can evaluate the permissibility of…
Technical Report on the CVPR 2026@AdvML Workshop Challenge
This text is about the CVPR 2026@AdvML Workshop Challenge, focusing on adversarial attacks against Vision-Language Agents (VLAs) used in autonomous driving. The challenge involves creating adversarial images and…
Formal Mechanisms for Market Stability in Self-Interested Agent Societies: A Marketplace Simulation Study
This research paper explores mechanisms for maintaining market stability in societies of self-interested agents. The authors conduct a simulation study using DeepSeek-V3 agents and compare eight conditions with…
Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text
The paper presents GAversary, a new method for generating adversarial attacks on natural language models using a Genetic Algorithm (GA). This method is able to reduce the accuracy of several target models significantly…
AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability
The paper introduces AdversaBench, a red-teaming pipeline for evaluating large language models. The pipeline generates hard inputs using five structured operators and confirms failures through a three-judge panel with…
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