Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data

31 May 2018

Papers citing "Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data"

38 / 38 papers shown

Title
A Comprehensive Analysis of Adversarial Attacks against Spam Filters Esra Hotoğlu Sevil Sen Burcu Can AAML 62 0 0 04 May 2025
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 127 16 0 27 Jul 2024
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos Volkan Cevher AAML 96 4 0 07 May 2024
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods Roopkatha Dey Aivy Debnath Sayak Kumar Dutta Kaustav Ghosh Arijit Mitra Arghya Roy Chowdhury Jaydip Sen AAML SILM 61 1 0 08 Apr 2024
Data Poisoning for In-context Learning Pengfei He Han Xu Yue Xing Hui Liu Makoto Yamada Jiliang Tang SILM AAML 100 13 0 03 Feb 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples Heng Yang Ke Li AAML 92 3 0 06 May 2023
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs Hongyan Bao Yufei Han Yujun Zhou Xin Gao Xiangliang Zhang AAML 70 5 0 13 Dec 2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 87 1 0 13 Dec 2022
Generating Textual Adversaries with Minimal Perturbation Xingyi Zhao Lu Zhang Depeng Xu Shuhan Yuan DeLMO AAML 45 2 0 12 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? Li-Cheng Lan Huan Zhang Ti-Rong Wu Meng-Yu Tsai I-Chen Wu Cho-Jui Hsieh AAML 75 11 0 07 Nov 2022
Towards Generating Adversarial Examples on Mixed-type Data Han Xu Menghai Pan Zhimeng Jiang Huiyuan Chen Xiaoting Li Mahashweta Das Hao Yang AAML SILM 110 0 0 17 Oct 2022
Probabilistic Categorical Adversarial Attack & Adversarial Training Han Xu Penghei He Jie Ren Yuxuan Wan Zitao Liu Hui Liu Jiliang Tang AAML SILM 52 0 0 17 Oct 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 83 18 0 27 Aug 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 80 19 0 07 Jun 2022
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models Akshita Jha Chandan K. Reddy SILM ELM AAML 112 67 0 31 May 2022
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 68 69 0 18 Nov 2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions I. Alsmadi Kashif Ahmad Mahmoud Nazzal Firoj Alam Ala I. Al-Fuqaha Abdallah Khreishah A. Algosaibi AAML 57 16 0 26 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 113 98 0 04 Oct 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Wu Ji-Rong Wen AAML 51 8 0 13 Sep 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Xiaoqing Zheng Qi Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 50 74 0 29 Aug 2021
A Differentiable Language Model Adversarial Attack on Text Classifiers I. Fursov Alexey Zaytsev Pavel Burnyshev Ekaterina Dmitrieva Nikita Klyuchnikov A. Kravchenko Ekaterina Artemova Evgeny Burnaev SILM 67 15 0 23 Jul 2021
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining Guowei Xu Wenbiao Ding Weiping Fu Zhongqin Wu Zitao Liu OOD 95 2 0 15 Jul 2021
Improving Model Robustness with Latent Distribution Locally and Globally Zhuang Qian Shufei Zhang Kaizhu Huang Qiufeng Wang Rui Zhang Xinping Yi AAML 64 14 0 08 Jul 2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 83 61 0 21 May 2021
Improved and Efficient Text Adversarial Attacks using Target Information M. Hossam Trung Le He Zhao Viet Huynh Dinh Q. Phung AAML 33 1 0 27 Apr 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation Chong Zhang Jieyu Zhao Huan Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 66 10 0 12 Apr 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 104 5 0 14 Jan 2021
On the Transferability of Adversarial Attacksagainst Neural Text Classifier Liping Yuan Xiaoqing Zheng Yi Zhou Cho-Jui Hsieh Kai-Wei Chang SILM AAML 58 26 0 17 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 114 48 0 19 Oct 2020
Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability M. Hossam Trung Le He Zhao Dinh Q. Phung SILM AAML 57 6 0 14 Oct 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 177 103 0 13 Apr 2020
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications Chenglong Wang Rudy Bunel Krishnamurthy Dvijotham Po-Sen Huang Edward Grefenstette Pushmeet Kohli 58 5 0 26 Apr 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 114 57 0 21 Jan 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 104 558 0 21 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 99 92 0 01 Dec 2018
Adversarial Reprogramming of Text Classification Neural Networks Paarth Neekhara Shehzeen Samarah Hussain Shlomo Dubnov F. Koushanfar AAML SILM 98 9 0 06 Sep 2018
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples Minhao Cheng Jinfeng Yi Pin-Yu Chen Huan Zhang Cho-Jui Hsieh SILM AAML 116 244 0 03 Mar 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 182 576 0 21 Feb 2018