Li Pan
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The paper proposes RPM-Net, a novel framework using a reciprocal point mechanism and adversarial margin constraints to achieve superior detection of unknown network security threats in imbalanced multi-class environments.
Vol-Mark proposes a robust, reversible-zero watermarking technique for 3D medical volume data, achieving high accuracy in verifying ownership and integrity even after various types of attacks.
This paper introduces a novel class of backdoor attacks that exploit the numerical side effects of LLM inference optimization, achieving high success rates while maintaining clean accuracy.
Papers
Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
Yifei Wang, Tianlin Li, Xiaohan Zhang, Yida Yang +2 more
This paper introduces a novel class of backdoor attacks that exploit the numerical side effects of LLM inference optimization, achieving high success rates while maintaining clean accuracy.