most citedLMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors

12 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2023

PyHGL: A Python-based Hardware Generation Language Framework

Jintao Sun, Zeke Wang, Tao Lu +1

Hardware generation languages (HGLs) increase hardware design productivity by creating parameterized modules and test benches. Unfortunately, existing tools are not widely adopted…

cs.CL202312 cited

LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors

Chengkun Wei, Wenlong Meng, Zhikun Zhang +6

Prompt-tuning has emerged as an attractive paradigm for deploying large-scale language models due to its strong downstream task performance and efficient multitask serving ability.…

cs.AR20232 cited

High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough

Yiquan Chen, Zhen Jin, Yijing Wang +10

NVMe(Non-Volatile Memory Express) is an industry standard for solid-state drives (SSDs) that has been widely adopted in data centers. NVMe virtualization is crucial in cloud comput…

cs.CV20231 cited

Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection

Chuer Yu, Xuhong Zhang, Yuxuan Duan +5

Despite the fact that DeepFake forgery detection algorithms have achieved impressive performance on known manipulations, they often face disastrous performance degradation when gen…

cs.CV2023

Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models

Yuxuan Duan, Xuhong Zhang, Chuer Yu +3

Recently, face swapping has been developing rapidly and achieved a surprising reality, raising concerns about fake content. As a countermeasure, various detection approaches have b…