Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization

17 June 2022

Papers citing "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization"

8 / 8 papers shown

Title
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective Chang Liu Hai Huang Yujie Xing Xingquan Zuo AAML 49 0 0 04 Feb 2025
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos V. Cevher AAML 39 3 0 07 May 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing Jiabao Ji Bairu Hou Zhen Zhang Guanhua Zhang Wenqi Fan Qing Li Yang Zhang Gaowen Liu Sijia Liu Shiyu Chang AAML 43 6 0 18 Apr 2024
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks Xinyu Zhang Hanbin Hong Yuan Hong Peng Huang Binghui Wang Zhongjie Ba Kui Ren SILM 42 18 0 31 Jul 2023
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 250 915 0 21 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Determinantal point processes for machine learning Alex Kulesza B. Taskar 165 1,123 0 25 Jul 2012
A Framework for Evaluating Approximation Methods for Gaussian Process Regression Krzysztof Chalupka Christopher K. I. Williams Iain Murray GP 71 169 0 29 May 2012