Generating Natural Adversarial Examples

31 October 2017

Papers citing "Generating Natural Adversarial Examples"

50 / 324 papers shown

Title
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 24 57 0 03 Jan 2022
Adversarial Attack for Asynchronous Event-based Data Wooju Lee Hyun Myung AAML 14 8 0 27 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 19 5 0 22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min-Bin Lin Shuicheng Yan Hanwang Zhang SILM AAML 20 55 0 22 Dec 2021
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 35 2 0 20 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces Volodymyr Kuleshov Evgenii Nikishin S. Thakoor Tingfung Lau Stefano Ermon AAML 11 1 0 12 Dec 2021
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization Wenbo Gou Wen Shi Jian Lou Lijie Huang Pan Zhou Ruixuan Li AAML 31 2 0 08 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 19 3 0 30 Nov 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie M. Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 24 3 0 27 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad D. Ranasinghe AAML 41 53 0 19 Nov 2021
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization Shengcai Liu Ning Lu W. Hong Chao Qian Ke Tang AAML 14 14 0 02 Nov 2021
Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations Marek Galovič B. Bosanský Viliam Lisý AAML 15 5 0 22 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 82 175 0 14 Oct 2021
Auditing AI models for Verified Deployment under Semantic Specifications Homanga Bharadhwaj De-An Huang Chaowei Xiao Anima Anandkumar Animesh Garg MLAU 25 6 0 25 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 35 16 0 20 Sep 2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos Nupur Thakur Baoxin Li AAML 29 2 0 13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 28 8 0 13 Sep 2021
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack Shengcai Liu Ning Lu Cheng Chen Ke Tang AAML 12 31 0 06 Sep 2021
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding Lingyun Feng Jianwei Yu Deng Cai Songxiang Liu Haitao Zheng Yan Wang ELM 71 14 0 30 Aug 2021
HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media Shiwen Ni Jiawen Li Hung-Yu kao 6 6 0 29 Aug 2021
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks Shiwen Ni Jiawen Li Hung-Yu kao AAML 11 4 0 29 Aug 2021
Secoco: Self-Correcting Encoding for Neural Machine Translation Tao Wang Chengqi Zhao Mingxuan Wang Lei Li Hang Li Deyi Xiong VLM 23 3 0 27 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 18 89 0 20 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 29 10 0 18 Aug 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing Sanchit Sinha Hanjie Chen Arshdeep Sekhon Yangfeng Ji Yanjun Qi AAML FAtt 22 42 0 11 Aug 2021
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning Vivek Gupta Riyaz Ahmad Bhat Atreya Ghosal Manisha Srivastava M. Singh Vivek Srikumar LMTD 15 18 0 02 Aug 2021
Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong A. Luu Rongrong Ji Hong Liu SILM AAML 29 113 0 28 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 23 4 0 21 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 16 2 0 15 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 36 11 0 05 Jul 2021
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models Zihao Xiao Xianfeng Gao Chilin Fu Yinpeng Dong Wei-zhe Gao Xiaolu Zhang Jun Zhou Jun Zhu AAML CVBM 31 109 0 29 Jun 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 23 131 0 21 Jun 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Saeed Mian AAML 24 33 0 20 Jun 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk Chirag Agarwal Shalmali Joshi Sohini Upadhyay Himabindu Lakkaraju AAML 27 51 0 18 Jun 2021
Bad Characters: Imperceptible NLP Attacks Nicholas Boucher Ilia Shumailov Ross J. Anderson Nicolas Papernot AAML SILM 30 103 0 18 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang 28 172 0 14 Jun 2021
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models Jatin Chauhan Karan Bhukar Manohar Kaul AAML 12 1 0 13 Jun 2021
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering Aditya Gupta Jiacheng Xu Shyam Upadhyay Diyi Yang Manaal Faruqui 29 33 0 08 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 24 139 0 07 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett T. Kenyon AAML 21 43 0 03 Jun 2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models Chong Li Ce Zhang Xiaoqing Zheng Xuanjing Huang 11 28 0 31 May 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 10 21 0 30 May 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models Jieyu Lin Jiajie Zou Nai Ding AAML 18 42 0 24 May 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK] Jiehang Zeng Xiaoqing Zheng Jianhan Xu Linyang Li Liping Yuan Xuanjing Huang AAML 18 67 0 08 May 2021
An Adversarially-Learned Turing Test for Dialog Generation Models Xiang Gao Yizhe Zhang Michel Galley Bill Dolan AAML 12 2 0 16 Apr 2021
Towards Variable-Length Textual Adversarial Attacks Junliang Guo Zhirui Zhang Linlin Zhang Linli Xu Boxing Chen Enhong Chen Weihua Luo AAML 73 6 0 16 Apr 2021
Detecting Operational Adversarial Examples for Reliable Deep Learning Xingyu Zhao Wei Huang S. Schewe Yizhen Dong Xiaowei Huang AAML 17 10 0 13 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 16 10 0 12 Apr 2021
Internal Wasserstein Distance for Adversarial Attack and Defense Jincheng Li Shuhai Zhang Jiezhang Cao Jian Chen Mingkui Tan Yang Xiang AAML 16 4 0 13 Mar 2021