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20232026
most citedExploiting Machine Unlearning for Backdoor Attacks in Deep Learning System

3 citations · 5 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CR2026

Not All Tokens Are Equal: Region-Aware Consistency Repair of Backdoors in MLLMs

Jiali Wei, Ming Fan, Mingkun Zhang +6

MLLMs are increasingly deployed in user-facing applications, yet they inherit backdoor risks from the pipelines used to construct them: triggers may reside in images, texts, or bot…

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.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…

cs.CR2026

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems

Yihao Zhang, Kai Wang, Jiangrong Wu +7

Large Language Models (LLMs) face prominent security risks from jailbreaking, a practice that manipulates models to bypass built-in security constraints and generate unethical or u…

cs.AI2026

NuHF Claw: A Risk Constrained Cognitive Agent Framework for Human Centered Procedure Support in Digital Nuclear Control Rooms

Xingyu Xiao, Jiejuan Tong, Jun Sun +4

The rapid digitization of nuclear power plant main control rooms has fundamentally reshaped operator interaction patterns, introducing complex soft-control behaviors and elevated c…