ECHO: Replacing the Compliance Proxy with Response Harmfulness in Optimization-Based Jailbreak Attack
We propose ECHO (Evaluation-Conditioned Harmfulness Optimization), which replaces the compliance proxy with response-level, continuous harmfulness scores from HarmSig, a 1.7B regressor grounded in actual harmful capability.
ProofPaper ↗
Key points
- Despite extensive safety alignment, large language models remain vulnerable to jailbreak attacks.
- Existing optimization-based attacks share a single objective: maximize a token-level proxy of victim compliance---such as the likelihood of an affirmative prefix---computed on the prompt rather than the decoded reply.
- This proxy cannot distinguish a cautious hedge from a fully actionable harmful answer, leaving the search blind to what the model actually says.
- ECHO couples HarmSig with five word-level perturbation operators and Keyword-Anchored Beam Search with global top-m memory, under a strict black-box threat model.
Sources (1)
- [1]ECHO: Replacing the Compliance Proxy with Response Harmfulness in Optimization-Based Jailbreak AttackarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 07:07 AM
We propose ECHO (Evaluation-Conditioned Harmfulness Optimization), which replaces the compliance proxy with response-level, continuous harmfulness scores from HarmSig, a 1.7B regressor grounded in actual harmful capability.
Despite extensive safety alignment, large language models remain vulnerable to jailbreak attacks.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 15, 2026openai/codex rust-v0.163.0: 0.163.0
- Oct 15, 2026Data Strategies for Large Language Models: A Unified Perspective on the Training Lifecycle
- Oct 15, 2026[AINews] Modal’s $1B ARR, $16B Series D makes it NYC’s newest AI Infra Decacorn, 3x usage and 3x valuation in 5 months, 15x in 1 yr
- Oct 15, 2026BiShield-TEE: On the (In-)Security of Unilateral Weight Obfuscation in On-Device TEE-Shielded LLM Partition
- Oct 15, 2026ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews
- Oct 14, 2026Generate presentations with Amazon Bedrock AgentCore