Generating Natural Adversarial Examples

31 October 2017

Papers citing "Generating Natural Adversarial Examples"

50 / 324 papers shown

Title
AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction Zhong Yuan Tao Shen Sheng Xu Leiye Yu R. Ren S. Sun 16 2 0 15 May 2023
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility Wen-song Ye Mingfeng Ou Tianyi Li Yipeng Chen Xuetao Ma ... Sai Wu Jie Fu Gang Chen Haobo Wang J. Zhao 44 36 0 15 May 2023
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples Heng Yang Ke Li AAML 27 2 0 06 May 2023
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems Vyas Raina Mark J. F. Gales AAML 21 1 0 02 May 2023
Masked Language Model Based Textual Adversarial Example Detection Xiaomei Zhang Zhaoxi Zhang Qi Zhong Xufei Zheng Yanjun Zhang Shengshan Hu L. Zhang AAML 26 0 0 18 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 35 2 0 04 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning Taehoon Kim Jaeyoo Park Bohyung Han CLL 27 5 0 04 Apr 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging Alessandro Fontanella Antreas Antoniou Wenwen Li Joanna M. Wardlaw Grant Mair Emanuele Trucco Amos Storkey MedIm 27 11 0 27 Mar 2023
Robustifying Token Attention for Vision Transformers Yong Guo David Stutz Bernt Schiele ViT 21 24 0 20 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 41 27 0 17 Mar 2023
Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples Ali Montazeralghaem James Allan AAML SILM 16 0 0 09 Mar 2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend Ning Lu Shengcai Liu Zhirui Zhang Qi. Wang Haifeng Liu Jiaheng Zhang AAML 80 5 0 06 Feb 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models Son Quoc Tran Phong Nguyen-Thuan Do Uyen Le Matt Kretchmar ELM AAML 30 7 0 31 Jan 2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex Terry Yue Zhuo Zhuang Li Yujin Huang Fatemeh Shiri Weiqing Wang Gholamreza Haffari Yuan-Fang Li AAML 26 53 0 30 Jan 2023
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification Ruixuan Tang Hanjie Chen Yangfeng Ji AAML FAtt 24 2 0 10 Dec 2022
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 19 9 0 29 Nov 2022
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers Shanshan Xu Irina Broda R. Haddad Marco Negrini Matthias Grabmair 26 0 0 28 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? Saadia Gabriel Hamid Palangi Yejin Choi AAML 37 1 0 08 Nov 2022
Preserving Semantics in Textual Adversarial Attacks David Herel Hugo Cisneros Tomáš Mikolov AAML 35 6 0 08 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 19 17 0 05 Nov 2022
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise He Tang Lin Wan He-Nan Wang 27 21 0 27 Oct 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack Yu Cao Dianqi Li Meng Fang Tianyi Zhou Jun Gao Yibing Zhan Dacheng Tao AAML 21 15 0 27 Oct 2022
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering Victor Zhong Weijia Shi Wen-tau Yih Luke Zettlemoyer 17 19 0 25 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
Measures of Information Reflect Memorization Patterns Rachit Bansal Danish Pruthi Yonatan Belinkov 30 8 0 17 Oct 2022
A Survey of Parameters Associated with the Quality of Benchmarks in NLP Swaroop Mishra Anjana Arunkumar Chris Bryan Chitta Baral 29 1 0 14 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 20 13 0 02 Oct 2022
Quantifying probabilistic robustness of tree-based classifiers against natural distortions Christoph Schweimer S. Scher 28 0 0 22 Aug 2022
Interpreting BERT-based Text Similarity via Activation and Saliency Maps Itzik Malkiel Dvir Ginzburg Oren Barkan Avi Caciularu Jonathan Weill Noam Koenigstein 25 20 0 13 Aug 2022
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval Hao Wang Guosheng Lin S. Hoi Chun Miao 21 15 0 29 Jul 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 15 11 0 21 Jul 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection Svetlana Pavlitskaya Bianca-Marina Codau J. Marius Zöllner AAML 13 11 0 15 Jul 2022
Adversarial Robustness of Visual Dialog Lu Yu Verena Rieser AAML 28 0 0 06 Jul 2022
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles Chen Lin Si Chen Meifang Zeng Sheng Zhang Min Gao Hui Li AAML 10 34 0 23 Jun 2022
Plug and Play Counterfactual Text Generation for Model Robustness Nishtha Madaan Srikanta J. Bedathur Diptikalyan Saha 26 4 0 21 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 27 15 0 10 Jun 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention Haiteng Zhao Chang Ma Xinshuai Dong A. Luu Zhi-Hong Deng Hanwang Zhang AAML 33 35 0 24 May 2022
Hierarchical Distribution-Aware Testing of Deep Learning Wei Huang Xingyu Zhao Alec Banks V. Cox Xiaowei Huang OOD AAML 34 10 0 17 May 2022
Residue-Based Natural Language Adversarial Attack Detection Vyas Raina Mark J. F. Gales AAML 19 11 0 17 Apr 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 32 55 0 29 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 49 71 0 26 Mar 2022
On The Robustness of Offensive Language Classifiers Jonathan Rusert Zubair Shafiq P. Srinivasan AAML 11 11 0 21 Mar 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML 21 4 0 19 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 19 24 0 16 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 34 30 0 12 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems H. Abdullah Aditya Karlekar S. Prasad Muhammad Sajidur Rahman Logan Blue L. A. Bauer Vincent Bindschaedler Patrick Traynor AAML 21 3 0 10 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 29 1 0 04 Mar 2022
A Tutorial on Adversarial Learning Attacks and Countermeasures Cato Pauling Michael Gimson Muhammed Qaid Ahmad Kida Basel Halak AAML 17 11 0 21 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 13 609 0 07 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu Tianlong Chen Xiaohan Chen Li Shen D. Mocanu Zhangyang Wang Mykola Pechenizkiy 11 106 0 05 Feb 2022