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"

26 / 26 papers shown

Title
A Comprehensive Analysis of Adversarial Attacks against Spam Filters Esra Hotoğlu Sevil Sen Burcu Can AAML 29 0 0 04 May 2025
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 42 10 0 27 Jul 2024
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos V. Cevher AAML 39 3 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 29 1 0 08 Apr 2024
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 34 12 0 21 Apr 2023
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 44 1 0 13 Dec 2022
Generating Textual Adversaries with Minimal Perturbation Xingyi Zhao Lu Zhang Depeng Xu Shuhan Yuan DeLMO AAML 12 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 24 10 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 18 0 0 17 Oct 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 26 16 0 27 Aug 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 30 20 0 07 Jun 2022
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models Akshita Jha Chandan K. Reddy SILM ELM AAML 30 59 0 31 May 2022
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 27 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 28 94 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 29 7 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 8 74 0 29 Aug 2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 14 58 0 21 May 2021
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 29 48 0 19 Oct 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 30 99 0 13 Apr 2020
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 24 57 0 21 Jan 2019
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 15 92 0 01 Dec 2018
Adversarial Reprogramming of Text Classification Neural Networks Paarth Neekhara Shehzeen Samarah Hussain Shlomo Dubnov F. Koushanfar AAML SILM 23 9 0 06 Sep 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 915 0 21 Apr 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 21 560 0 21 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 267 13,368 0 25 Aug 2014