11 citations · 17 across the 9 of their papers we have counts for
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cs.CL2025
Cross-Entropy Attacks to Language Models via Rare Event Simulation
Mingze Ni, Yongshun Gong, Wei Liu
Black-box textual adversarial attacks are challenging due to the lack of model information and the discrete, non-differentiable nature of text. Existing methods often lack versatil…
cs.CL2024
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
Jiyao Li, Mingze Ni, Yongshun Gong +1
Deep learning underpins most of the currently advanced natural language processing (NLP) tasks such as textual classification, neural machine translation (NMT), abstractive summari…
cs.CL2023★ 1 cited
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
Mingze Ni, Zhensu Sun, Wei Liu
Recent research has revealed that natural language processing (NLP) models are vulnerable to adversarial examples. However, the current techniques for generating such examples rely…