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20182026
most citedAdversarial Sample Detection for Deep Neural Network through Model Mutation Testing

153 citations · 224 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Tripwire: Triggering Aligned Refusal via Statistically Certified Safety Neurons

Wei Zhao, Zhe Li, Peixin Zhang +1

Neuron- and path-level interventions offer the finest-grained route to defending large language models (LLMs) against jailbreak attacks, yet existing methods fall short of this pro…

cs.SE2026

Lossless Tensor Compression as Program Synthesis

Jieke Shi, Junda He, Wenjia Jiang +11

Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly costly. General-purpose compressors can reduce storage requiremen…

cs.AI2026

Forecasting Side Effects of Activation Steering

Chong Yong Ong, Alson Wei Jie Sim, Peixin Zhang +1

Activation steering modifies a language model by adding a learned direction to its hidden activations, enabling targeted behavioral changes without retraining. While effective, ste…

cs.SE2026

DDOR: Delta Debugging for Explainable Overrefusal Testing and Repair

Qinyan Zhou, Peixin Zhang, Jun Sun +2

While safety alignment and guardrails help large language models (LLMs) avoid harmful outputs, they can also induce overrefusal, i.e., unwarranted rejection of benign queries that…

cs.CR2026

ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection

Wei Zhao, Zhe Li, Peixin Zhang +1

Tool-augmented Large Language Model (LLM) agents have demonstrated impressive capabilities in automating complex, multi-step real-world tasks, yet remain vulnerable to indirect pro…