Fast is better than free: Revisiting adversarial training

12 January 2020

J. Zico Kolter

Papers citing "Fast is better than free: Revisiting adversarial training"

50 / 733 papers shown

Title
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 14 261 0 01 Oct 2020
STRATA: Simple, Gradient-Free Attacks for Models of Code Jacob Mitchell Springer Bryn Reinstadler Una-May O’Reilly AAML 17 8 0 28 Sep 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks Hoki Kim 6 199 0 24 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 11 11 0 21 Sep 2020
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks Yaguan Qian Qiqi Shao Jiamin Wang Xiangyuan Lin Yankai Guo Zhaoquan Gu Bin Wang Chunming Wu AAML 22 23 0 19 Sep 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 12 26 0 18 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 12 380 0 15 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 16 128 0 09 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 19 7 0 07 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 8 28 0 06 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 76 60 0 05 Sep 2020
Shape Defense Against Adversarial Attacks Ali Borji AAML 14 1 0 31 Aug 2020
Puzzle-AE: Novelty Detection in Images through Solving Puzzles Mohammadreza Salehi Ainaz Eftekhar Niousha Sadjadi M. Rohban Hamid R. Rabiee AAML 6 43 0 29 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg C. Hegde OOD 25 11 0 27 Aug 2020
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition Ping Liu Yuewei Lin Zibo Meng Lu Lu Weihong Deng Joey Tianyi Zhou Yi Yang 16 26 0 26 Aug 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 38 2 0 25 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 6 9 0 16 Aug 2020
On the Generalization Properties of Adversarial Training Yue Xing Qifan Song Guang Cheng AAML 17 32 0 15 Aug 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 15 20 0 13 Aug 2020
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise A. Serban E. Poll Joost Visser AAML 10 0 0 12 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 6 33 0 03 Aug 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat F. Khan Fatih Porikli GAN AAML 20 16 0 29 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 10 33 0 16 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 11 66 0 15 Jul 2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack Yupeng Cheng Qing-Wu Guo Felix Juefei Xu Wei Feng Shang-Wei Lin Weisi Lin Yang Liu AAML 30 46 0 14 Jul 2020
Adversarial robustness via robust low rank representations Pranjal Awasthi Himanshu Jain A. S. Rawat Aravindan Vijayaraghavan AAML 6 22 0 13 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip H. S. Torr NoLa AAML 23 57 0 08 Jul 2020
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations Justin A. Goodwin Olivia M. Brown Victoria Helus OOD AAML 12 3 0 08 Jul 2020
Black-box Adversarial Example Generation with Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 14 3 0 06 Jul 2020
Understanding and Improving Fast Adversarial Training Maksym Andriushchenko Nicolas Flammarion AAML 18 283 0 06 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 7 0 0 01 Jul 2020
Robust and Accurate Authorship Attribution via Program Normalization Yizhen Wang Mohannad J. Alhanahnah Ke Wang Mihai Christodorescu S. Jha AAML 18 1 0 01 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 23 131 0 01 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications Eric Wong Tim Schneider Joerg Schmitt Frank R. Schmidt J. Zico Kolter AAML 24 8 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 54 1,664 0 29 Jun 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 14 152 0 25 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 18 42 0 24 Jun 2020
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma Linxi Jiang Hanxun Huang Zejia Weng James Bailey Yu-Gang Jiang AAML 20 10 0 24 Jun 2020
Adversarial Robustness of Deep Sensor Fusion Models Shaojie Wang Tong Wu Ayan Chakrabarti Yevgeniy Vorobeychik AAML 23 10 0 23 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin S. Hwang NoLa AAML 17 25 0 22 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 30 161 0 16 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 19 81 0 15 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 16 348 0 13 Jun 2020
Rethinking Clustering for Robustness Motasem Alfarra Juan C. Pérez Adel Bibi Ali K. Thabet Pablo Arbelaez Bernard Ghanem OOD 14 0 0 13 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 24 487 0 11 Jun 2020
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features K. K. Nakka Mathieu Salzmann AAML 12 6 0 10 Jun 2020
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines Marius Mosbach Maksym Andriushchenko Dietrich Klakow 12 352 0 08 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 2 22 0 07 Jun 2020
Robust Face Verification via Disentangled Representations Marius Arvinte Ahmed H. Tewfik S. Vishwanath CVBM 6 1 0 05 Jun 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov Yiren Zhao Daniel Bates Nicolas Papernot Robert D. Mullins Ross J. Anderson SILM 14 127 0 05 Jun 2020