v1v2 (latest)

Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,017 papers shown

Title
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 64 16 0 10 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 119 2 0 10 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 97 1 0 09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 61 0 0 08 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi Soheil Feizi MU 67 25 0 07 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 77 1 0 07 Mar 2023
A Comparison of Methods for Neural Network Aggregation John Pomerat Aviv Segev OOD FedML 43 0 0 06 Mar 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 67 1 0 06 Mar 2023
Adversarial Sampling for Fairness Testing in Deep Neural Network Tosin Ige William Marfo Justin Tonkinson Sikiru Adewale Bolanle Hafiz Matti OOD 51 9 0 06 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 63 2 0 05 Mar 2023
Demystifying What Code Summarization Models Learned Yu Wang Ke Wang 127 0 0 04 Mar 2023
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes Thomas Philippon Christian Gagné AAML 45 0 0 04 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 74 3 0 03 Mar 2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks Amira Guesmi Ioan Marius Bilasco Mohamed Bennai Ihsen Alouani GAN AAML 89 21 0 03 Mar 2023
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation Amira Guesmi Muhammad Abdullah Hanif Ihsen Alouani Mohamed Bennai AAML 88 9 0 02 Mar 2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems Amira Guesmi Muhammad Abdullah Hanif Mohamed Bennai AAML 98 17 0 02 Mar 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Junho Kim Byung-Kwan Lee Yonghyun Ro CML AAML 93 18 0 02 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Ming-Yu Liu Weili Nie Chaowei Xiao DiffM 86 26 0 02 Mar 2023
To Make Yourself Invisible with Adversarial Semantic Contours Yichi Zhang Zijian Zhu Hang Su Jun Zhu Shibao Zheng Yuan He H. Xue AAML 68 4 0 01 Mar 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 76 5 0 01 Mar 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 83 4 0 28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 115 85 0 28 Feb 2023
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 69 19 0 28 Feb 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 93 22 0 27 Feb 2023
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Shaohui Mei AAML 136 36 0 27 Feb 2023
Scalable Attribution of Adversarial Attacks via Multi-Task Learning Zhongyi Guo Keji Han Yao Ge Wei Ji Yun Li AAML 77 2 0 25 Feb 2023
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity Khatoon Mohammed AAML 122 10 0 24 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao Xinyu Lin B. Kailkhura Ryan Goldh AAML 117 11 0 23 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 72 5 0 22 Feb 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks Sihui Dai Saeed Mahloujifar Chong Xiang Vikash Sehwag Pin-Yu Chen Prateek Mittal AAML OOD 114 7 0 21 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 98 10 0 21 Feb 2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker Sihui Dai Wen-Luan Ding A. Bhagoji Daniel Cullina Ben Y. Zhao Haitao Zheng Prateek Mittal AAML 88 2 0 21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 61 2 0 21 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning Xin Zou Weiwei Liu AAML 71 11 0 21 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 86 38 0 20 Feb 2023
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System Hao Lv Bing Li Lefei Zhang Cheng Liu Ying Wang AAML 39 3 0 20 Feb 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network Xiaojian Yuan Kejiang Chen Jie Zhang Weiming Zhang Neng H. Yu Yangyi Zhang 72 40 0 20 Feb 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 107 0 0 19 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Yue Liu Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 84 39 0 19 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 112 23 0 19 Feb 2023
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks Marwan Omar SILM AAML 106 0 0 18 Feb 2023
Masking and Mixing Adversarial Training Hiroki Adachi Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Yasunori Ishii Kazuki Kozuka AAML 23 1 0 16 Feb 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 128 5 0 16 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 86 20 0 14 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images Xuxiang Sun Gong Cheng Lei Pei Hongda Li Junwei Han AAML 57 38 0 13 Feb 2023
HateProof: Are Hateful Meme Detection Systems really Robust? Piush Aggarwal Pranit Chawla Mithun Das Punyajoy Saha Binny Mathew Torsten Zesch Animesh Mukherjee AAML 73 9 0 11 Feb 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks Piotr Gaiñski Klaudia Bałazy 67 7 0 10 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 127 37 0 10 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 64 132 0 09 Feb 2023