Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

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Title
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min Lin Chen Amin Karbasi AAML 54 69 0 25 Feb 2020
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Mengshu Sun Caiwen Ding B. Kailkhura Xinyu Lin OOD AAML 27 7 0 25 Feb 2020
Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors Metehan Cekic S. Gopalakrishnan Upamanyu Madhow 20 11 0 25 Feb 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks Alexander Levine Soheil Feizi AAML 30 148 0 25 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 56 225 0 25 Feb 2020
Towards Backdoor Attacks and Defense in Robust Machine Learning Models E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay AAML 22 13 0 25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma VLM 25 20 0 25 Feb 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 34 10 0 25 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 22 25 0 24 Feb 2020
Precise Tradeoffs in Adversarial Training for Linear Regression Adel Javanmard Mahdi Soltanolkotabi Hamed Hassani AAML 13 105 0 24 Feb 2020
Lagrangian Decomposition for Neural Network Verification Rudy Bunel Alessandro De Palma Alban Desmaison Krishnamurthy Dvijotham Pushmeet Kohli Philip Torr M. P. Kumar 19 50 0 24 Feb 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 32 199 0 24 Feb 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 15 92 0 24 Feb 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 46 279 0 24 Feb 2020
Towards Rapid and Robust Adversarial Training with One-Step Attacks Leo Schwinn René Raab Björn Eskofier AAML 33 6 0 24 Feb 2020
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks Matthew J. Roos AAML 9 2 0 24 Feb 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu Tianlong Chen Haotao Wang Zhangyang Wang OOD AAML 3DH 20 84 0 24 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 25 108 0 23 Feb 2020
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks K. Sivamani R. Sahay Aly El Gamal AAML 21 3 0 22 Feb 2020
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers Chen Zhu Renkun Ni Ping Yeh-Chiang Hengduo Li Furong Huang Tom Goldstein 31 5 0 22 Feb 2020
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 27 23 0 22 Feb 2020
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 22 19 0 22 Feb 2020
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems Junchi Yang Negar Kiyavash Niao He 53 83 0 22 Feb 2020
Polarizing Front Ends for Robust CNNs Can Bakiskan S. Gopalakrishnan Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 17 4 0 22 Feb 2020
Robustness to Programmable String Transformations via Augmented Abstract Training Yuhao Zhang Aws Albarghouthi Loris Dántoni 26 17 0 22 Feb 2020
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment Scott Freitas Shang-Tse Chen Zijie J. Wang Duen Horng Chau AAML 26 23 0 21 Feb 2020
Robustness from Simple Classifiers Sharon Qian Dimitris Kalimeris Gal Kaplun Yaron Singer AAML 13 1 0 21 Feb 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework Dinghuai Zhang Mao Ye Chengyue Gong Zhanxing Zhu Qiang Liu AAML 33 62 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 37 56 0 20 Feb 2020
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities Jelena Diakonikolas 10 74 0 20 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 20 73 0 20 Feb 2020
Towards Certifiable Adversarial Sample Detection Ilia Shumailov Yiren Zhao Robert D. Mullins Ross J. Anderson AAML 13 13 0 20 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 33 154 0 20 Feb 2020
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin Peter Chin AAML 24 3 0 19 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 113 825 0 19 Feb 2020
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models Shawn Shan Emily Wenger Jiayun Zhang Huiying Li Haitao Zheng Ben Y. Zhao PICV MU 36 24 0 19 Feb 2020
Randomized Smoothing of All Shapes and Sizes Greg Yang Tony Duan J. E. Hu Hadi Salman Ilya P. Razenshteyn Jungshian Li AAML 32 209 0 19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 24 37 0 19 Feb 2020
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu Yu Wang Jianshu Ji Hao Cheng Xueyun Zhu ... Pengcheng He Weizhu Chen Hoifung Poon Guihong Cao Jianfeng Gao AI4CE 31 60 0 19 Feb 2020
Block Switching: A Stochastic Approach for Deep Learning Security Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin S. Chin AAML 11 13 0 18 Feb 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent Pu Zhao Pin-Yu Chen Siyue Wang Xinyu Lin AAML 16 36 0 18 Feb 2020
Deflecting Adversarial Attacks Yao Qin Nicholas Frosst Colin Raffel G. Cottrell Geoffrey E. Hinton AAML 30 15 0 18 Feb 2020
TensorShield: Tensor-based Defense Against Adversarial Attacks on Images Negin Entezari Evangelos E. Papalexakis AAML 16 6 0 18 Feb 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness Huijie Feng Chunpeng Wu Guoyang Chen Weifeng Zhang Y. Ning AAML 39 11 0 17 Feb 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems Ryan Feng Neal Mangaokar Jiefeng Chen Earlence Fernandes S. Jha Atul Prakash OOD AAML 14 10 0 17 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng Qi Lei Pin-Yu Chen Inderjit Dhillon Cho-Jui Hsieh OOD AAML 40 114 0 17 Feb 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality Yi Zhang Orestis Plevrakis S. Du Xingguo Li Zhao Song Sanjeev Arora 34 51 0 16 Feb 2020
Blind Adversarial Network Perturbations Milad Nasr Alireza Bahramali Amir Houmansadr AAML 31 6 0 16 Feb 2020
Hold me tight! Influence of discriminative features on deep network boundaries Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 7 50 0 15 Feb 2020
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 20 9 0 15 Feb 2020