Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap Chinmay Hegde ViT 30 19 0 08 Oct 2021
Game Theory for Adversarial Attacks and Defenses Shorya Sharma AAML 21 3 0 08 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 51 100 0 07 Oct 2021
Adversarial Attack by Limited Point Cloud Surface Modifications Atrin Arya Hanieh Naderi S. Kasaei AAML 3DPC 37 4 0 07 Oct 2021
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 43 51 0 07 Oct 2021
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time Tian Dong Han Qiu Tianwei Zhang Jiwei Li Hewu Li Jialiang Lu AAML 39 8 0 07 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 17 1 0 07 Oct 2021
A Uniform Framework for Anomaly Detection in Deep Neural Networks Fangzhen Zhao Chenyi Zhang Naipeng Dong Zefeng You Zhenxin Wu AAML OOD OODD 35 9 0 06 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 52 79 0 06 Oct 2021
Reversible Attack based on Local Visual Adversarial Perturbation Li Chen Shaowei Zhu Z. Yin AAML 24 4 0 06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier Linyang Li Demin Song Ruotian Ma Xipeng Qiu Xuanjing Huang 31 21 0 06 Oct 2021
Adversarial defenses via a mixture of generators Maciej Żelaszczyk Jacek Mańdziuk AAML 13 0 0 05 Oct 2021
Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems Lisa Oakley Alina Oprea S. Tripakis AAML 21 0 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 71 3 0 01 Oct 2021
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation Manjushree B. Aithal Xiaohua Li AAML 60 6 0 30 Sep 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 21 22 0 29 Sep 2021
ML4ML: Automated Invariance Testing for Machine Learning Models Zukang Liao Pengfei Zhang Min Chen VLM 26 3 0 27 Sep 2021
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles Yuejun Guo Qiang Hu Maxime Cordy Michail Papadakis Yves Le Traon AAML 35 2 0 27 Sep 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 29 76 0 23 Sep 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 54 16 0 22 Sep 2021
Modeling Adversarial Noise for Adversarial Training Dawei Zhou Nannan Wang Bo Han Tongliang Liu AAML 43 15 0 21 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 45 4 0 16 Sep 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Pengjie Ren Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 26 83 0 16 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 37 13 0 16 Sep 2021
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification J. Hauser Zhao Meng Damian Pascual Roger Wattenhofer OOD SILM AAML 193 14 0 15 Sep 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutiere AAML 38 6 0 15 Sep 2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models Wonseok Park Nan Liu Qi Alfred Chen Z. Morley Mao AAML 3DPC 33 12 0 13 Sep 2021
On the regularized risk of distributionally robust learning over deep neural networks Camilo A. Garcia Trillos Nicolas García Trillos OOD 50 10 0 13 Sep 2021
Adversarial Bone Length Attack on Action Recognition Nariki Tanaka Hiroshi Kera K. Kawamoto AAML 29 13 0 13 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 29 5 0 13 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 25 14 0 13 Sep 2021
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 20 0 0 12 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Katie Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 54 12 0 11 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 22 32 0 09 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 25 6 0 07 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin Yuanhao Xiong Jinfeng Yi Cho-Jui Hsieh AAML 27 18 0 05 Sep 2021
SEC4SR: A Security Analysis Platform for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 35 12 0 04 Sep 2021
Adversarial Robustness for Unsupervised Domain Adaptation Muhammad Awais Fengwei Zhou Hang Xu Lanqing Hong Ping Luo Sung-Ho Bae Zhenguo Li 28 39 0 02 Sep 2021
Impact of Attention on Adversarial Robustness of Image Classification Models Prachi Agrawal Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal AAML 24 6 0 02 Sep 2021
Real World Robustness from Systematic Noise Yan Wang Yuhang Li Ruihao Gong 38 7 0 02 Sep 2021
Regional Adversarial Training for Better Robust Generalization Chuanbiao Song Yanbo Fan Yichen Yang Baoyuan Wu Yiming Li Zhifeng Li Kun He AAML OOD 21 6 0 02 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 43 24 0 31 Aug 2021
Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning Doha Al Bared M. Nassar AAML 24 1 0 31 Aug 2021
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation Ahmed A. Abusnaina Afsah Anwar Sultan Alshamrani Abdulrahman Alabduljabbar Rhongho Jang Daehun Nyang David A. Mohaisen AAML 22 1 0 30 Aug 2021
Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz AAML 24 33 0 30 Aug 2021
Disrupting Adversarial Transferability in Deep Neural Networks Christopher Wiedeman Ge Wang AAML 36 8 0 27 Aug 2021
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks Landan Seguin A. Ndirango Neeli Mishra SueYeon Chung Tyler Lee OOD 25 2 0 26 Aug 2021
A Hierarchical Assessment of Adversarial Severity Guillaume Jeanneret Juan Pérez Pablo Arbeláez AAML 36 2 0 26 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 33 60 0 26 Aug 2021