activity
20232026
most citedMask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder

4 citations · 9 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

AG-CoT: Verified Algorithmic Traces for LLM Program Synthesis on Clifford Circuits

Lu Wei, Yufeng Wang, Chenfeng Cao +2

Scientific code generation can produce executable programs that fail to compute the intended scientific object. We study this problem in language-model synthesis of Clifford circui…

cs.CR2024

Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations

Lu Pang, Tao Sun, Weimin Lyu +2

Recently, backdoor attack has become an increasing security threat to deep neural networks and drawn the attention of researchers. Backdoor attacks exploit vulnerabilities in third…

cs.CV2024

Backdooring Vision-Language Models with Out-Of-Distribution Data

Weimin Lyu, Jiachen Yao, Saumya Gupta +6

The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to generate detailed text descr…

cs.CV2024★ 1 cited

TrojVLM: Backdoor Attack Against Vision Language Models

Weimin Lyu, Lu Pang, Tengfei Ma +2

The emergence of Vision Language Models (VLMs) is a significant advancement in integrating computer vision with Large Language Models (LLMs) to produce detailed text descriptions b…

cs.CL2024★ 1 cited

Task-Agnostic Detector for Insertion-Based Backdoor Attacks

Weimin Lyu, Xiao Lin, Songzhu Zheng +4

Textual backdoor attacks pose significant security threats. Current detection approaches, typically relying on intermediate feature representation or reconstructing potential trigg…

cs.LG2023★ 3 cited

Attention-Enhancing Backdoor Attacks Against BERT-based Models

Weimin Lyu, Songzhu Zheng, Lu Pang +2

Recent studies have revealed that \textit{Backdoor Attacks} can threaten the safety of natural language processing (NLP) models. Investigating the strategies of backdoor attacks wi…

cs.LG2023★ 4 cited

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder

Tao Sun, Lu Pang, Weimin Lyu +2

Deep neural networks are vulnerable to backdoor attacks, where an adversary manipulates the model behavior through overlaying images with special triggers. Existing backdoor defens…