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Generating Natural Adversarial Examples

31 October 2017

Papers citing "Generating Natural Adversarial Examples"

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Title
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 87 48 0 20 Jun 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 57 8 0 09 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 52 21 0 08 Jun 2020
Image Augmentations for GAN Training Zhengli Zhao Zizhao Zhang Ting-Li Chen Sameer Singh Han Zhang 61 137 0 04 Jun 2020
Adversarial Attacks and Defense on Texts: A Survey A. Huq Mst. Tasnim Pervin AAML 125 21 0 28 May 2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models Haochen Liu Zhiwei Wang Hanyu Wang Jiliang Tang AAML 87 15 0 27 May 2020
Generating Semantically Valid Adversarial Questions for TableQA Yi Zhu Yiwei Zhou Menglin Xia AAML 41 5 0 26 May 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds Kibok Lee Zhuoyuan Chen Xinchen Yan R. Urtasun Ersin Yumer 3DPC 53 32 0 24 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 87 43 0 20 May 2020
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models Martin Kotuliak Sandro Schönborn Andrei Dan GAN AAML 30 1 0 19 May 2020
Attacking Recommender Systems with Augmented User Profiles Chen Lin Si Chen Hui Li Yanghua Xiao Lianyun Li Qiang Yang AAML 41 82 0 17 May 2020
Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise Yan Yan Yuhong Guo 51 13 0 11 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 56 92 0 05 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 108 32 0 02 May 2020
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks Winston Wu Dustin L. Arendt Svitlana Volkova AAML 47 5 0 01 May 2020
Universal Adversarial Attacks with Natural Triggers for Text Classification Liwei Song Xinwei Yu Hsuan-Tung Peng Karthik Narasimhan SILM AAML 70 76 0 01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 103 378 0 30 Apr 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 173 114 0 25 Apr 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 70 90 0 24 Apr 2020
Games for Fairness and Interpretability Eric Chu Nabeel Gillani S. Makini FaML 32 4 0 20 Apr 2020
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations Md Rafiqul Islam Rabin Mohammad Amin Alipour NAI 63 20 0 15 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension A. Maharana Joey Tianyi Zhou AAML 103 13 0 13 Apr 2020
BAE: BERT-based Adversarial Examples for Text Classification Siddhant Garg Goutham Ramakrishnan AAML SILM 196 556 0 04 Apr 2020
Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu YueFeng Chen H. Xue AAML PICV 125 74 0 15 Mar 2020
Metrics and methods for robustness evaluation of neural networks with generative models Igor Buzhinsky Arseny Nerinovsky S. Tripakis AAML 57 25 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 120 66 0 02 Mar 2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT Lichao Sun Kazuma Hashimoto Wenpeng Yin Akari Asai Jia Li Philip Yu Caiming Xiong SILM AAML 60 103 0 27 Feb 2020
Robustness to Programmable String Transformations via Augmented Abstract Training Yuhao Zhang Aws Albarghouthi Loris Dántoni 48 17 0 22 Feb 2020
Robustness Verification for Transformers Zhouxing Shi Huan Zhang Kai-Wei Chang Minlie Huang Cho-Jui Hsieh AAML 71 107 0 16 Feb 2020
Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances Phillip Keung Wei Niu Y. Lu Julian Salazar Vikas Bhardwaj 54 9 0 12 Feb 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 55 153 0 11 Feb 2020
Practical Fast Gradient Sign Attack against Mammographic Image Classifier Ibrahim Yilmaz AAML 59 10 0 27 Jan 2020
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN Jean-Christophe Burnel Kilian Fatras Nicolas Courty GAN AAML 21 3 0 27 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 58 12 0 06 Jan 2020
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack Wei Ping Hengzhi Pei Boyuan Pan Han Liu Shuohang Wang Yangqiu Song AAML 35 6 0 22 Dec 2019
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples B. Asadi Vijay Varadharajan AAML 38 3 0 11 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 81 129 0 01 Dec 2019
Learning Multi-level Dependencies for Robust Word Recognition Z. Wang Hui Liu Jiliang Tang Songfan Yang Gale Yan Huang Zitao Liu 47 8 0 22 Nov 2019
Generate (non-software) Bugs to Fool Classifiers Hiromu Yakura Youhei Akimoto Jun Sakuma AAML 37 10 0 20 Nov 2019
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories Zhaohui Che Ali Borji Guangtao Zhai Suiyi Ling Jing Li P. Le Callet AAML FedML 43 30 0 18 Nov 2019
CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems Pengcheng Zhang Qiyin Dai Patrizio Pelliccione AAML 44 4 0 14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 85 105 0 13 Nov 2019
A Reinforced Generation of Adversarial Examples for Neural Machine Translation Wei Zou Shujian Huang Jun Xie Xinyu Dai Jiajun Chen AAML SILM 67 26 0 09 Nov 2019
Word-level Textual Adversarial Attacking as Combinatorial Optimization Yuan Zang Fanchao Qi Chenghao Yang Zhiyuan Liu Meng Zhang Qun Liu Maosong Sun AAML 76 81 0 27 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images Dan Peng Zizhan Zheng Linhao Luo Xiaofeng Zhang AAML 46 2 0 22 Oct 2019
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings Qi Li Long Mai Michael A. Alcorn Anh Totti Nguyen 74 6 0 10 Oct 2019
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations Oana-Maria Camburu Brendan Shillingford Pasquale Minervini Thomas Lukasiewicz Phil Blunsom AAML GAN 71 97 0 07 Oct 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 269 442 0 25 Sep 2019
Analyzing machine-learned representations: A natural language case study Ishita Dasgupta Demi Guo S. Gershman Noah D. Goodman NAI 55 13 0 12 Sep 2019
Natural Adversarial Sentence Generation with Gradient-based Perturbation Yu-Lun Hsieh Minhao Cheng Da-Cheng Juan Wei Wei W. Hsu Cho-Jui Hsieh AAML 38 2 0 06 Sep 2019