Adversarial Training for Free!

29 April 2019

Papers citing "Adversarial Training for Free!"

50 / 702 papers shown

Title
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 37 11 0 01 Apr 2021
Class-Aware Robust Adversarial Training for Object Detection Pin-Chun Chen Bo-Han Kung Jun-Cheng Chen AAML ObjD 26 48 0 30 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale Zuxuan Wu Tom Goldstein L. Davis Ser-Nam Lim AAML GAN 29 1 0 25 Mar 2021
Vulnerability of Appearance-based Gaze Estimation Mingjie Xu Haofei Wang Yunfei Liu Feng Lu AAML 27 2 0 24 Mar 2021
CLIP: Cheap Lipschitz Training of Neural Networks Leon Bungert René Raab Tim Roith Leo Schwinn Daniel Tenbrinck 32 32 0 23 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks M. Vemparala Alexander Frickenstein Nael Fasfous Lukas Frickenstein Qi Zhao ... Daniel Ehrhardt Yuankai Wu C. Unger N. S. Nagaraja W. Stechele AAML 14 7 0 14 Mar 2021
Attack as Defense: Characterizing Adversarial Examples using Robustness Zhe Zhao Guangke Chen Jingyi Wang Yiwei Yang Fu Song Jun Sun AAML 28 31 0 13 Mar 2021
Internal Wasserstein Distance for Adversarial Attack and Defense Jincheng Li Shuhai Zhang Jingyun Liang Jian Chen Mingkui Tan Yang Xiang AAML 24 4 0 13 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 19 101 0 03 Mar 2021
Group-wise Inhibition based Feature Regularization for Robust Classification Haozhe Liu Haoqian Wu Weicheng Xie Feng Liu Linlin Shen OOD 27 16 0 03 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 27 6 0 01 Mar 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu Xiao Li Yuexiang Zhai Chong You Zhihui Zhu C. Fernandez‐Granda Qing Qu 25 25 0 01 Mar 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 39 6 0 26 Feb 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective Zhuolin Yang Zhaoxi Chen Tiffany Cai Xinyun Chen Bo-wen Li Yuandong Tian AAML 35 2 0 25 Feb 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 13 9 0 24 Feb 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 21 47 0 20 Feb 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Hairong Qi AAML 36 14 0 17 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs S. Feizi AAML 32 45 0 15 Feb 2021
And/or trade-off in artificial neurons: impact on adversarial robustness A. Fontana AAML 30 0 0 15 Feb 2021
Perceptually Constrained Adversarial Attacks Muhammad Zaid Hameed András Gyorgy 11 12 0 14 Feb 2021
Realizable Universal Adversarial Perturbations for Malware Raphael Labaca-Castro Luis Muñoz-González Feargus Pendlebury Gabi Dreo Rodosek Fabio Pierazzi Lorenzo Cavallaro AAML 15 5 0 12 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 26 13 0 09 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 27 7 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
Robust Single-step Adversarial Training with Regularizer Lehui Xie Yaopeng Wang Jianwei Yin Ximeng Liu AAML 36 1 0 05 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 27 25 0 04 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 86 475 0 02 Feb 2021
Towards Speeding up Adversarial Training in Latent Spaces Yaguan Qian Qiqi Shao Tengteng Yao Bin Wang Shouling Ji Shaoning Zeng Zhaoquan Gu Wassim Swaileh AAML 14 4 0 01 Feb 2021
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing Chengwei Zhang Yangzhou Jiang Wei Zhang Chengyu Gu 10 5 0 30 Jan 2021
Adversarial Learning with Cost-Sensitive Classes Hao Shen Sihong Chen Ran Wang Xizhao Wang AAML 30 11 0 29 Jan 2021
Deep Learning for Scene Classification: A Survey Delu Zeng Minyu Liao M. Tavakolian Yulan Guo Bolei Zhou D. Hu M. Pietikäinen Li Liu VLM 29 27 0 26 Jan 2021
Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning Anh-Vu Bui Trung Le He Zhao Paul Montague S. Çamtepe Dinh Q. Phung AAML 13 14 0 25 Jan 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving James Tu Huichen Li Xinchen Yan Mengye Ren Yun Chen Ming Liang E. Bitar Ersin Yumer R. Urtasun AAML 32 75 0 17 Jan 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks Jia-Wei Liu Yaochu Jin AAML OOD 18 36 0 16 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 24 5 0 14 Jan 2021
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21 Danqing Zhu Wangli Lin Yang Zhang Qiwei Zhong Guanxiong Zeng Weilin Wu Jiayu Tang 25 17 0 11 Jan 2021
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification Yao Qiang Supriya Tumkur Suresh Kumar Marco Brocanelli D. Zhu AAML 28 0 0 10 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 36 5 0 07 Jan 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Christopher C. Pain Yike Guo 43 7 0 05 Jan 2021
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning Ahmadreza Jeddi M. Shafiee A. Wong AAML 33 37 0 25 Dec 2020
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis Jay Roberts AAML 22 11 0 22 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 59 140 0 21 Dec 2020
RAILS: A Robust Adversarial Immune-inspired Learning System Ren Wang Tianqi Chen Stephen Lindsly A. Rehemtulla Alfred Hero I. Rajapakse AAML 17 7 0 18 Dec 2020
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 19 5 0 18 Dec 2020
Characterizing the Evasion Attackability of Multi-label Classifiers Zhuo Yang Yufei Han Xiangliang Zhang AAML 11 10 0 17 Dec 2020
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models Linjie Li Zhe Gan Jingjing Liu VLM 33 42 0 15 Dec 2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration Nanyang Ye Qianxiao Li Xiao-Yun Zhou Zhanxing Zhu AAML 32 15 0 15 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints X. Li Xiangrui Li Deng Pan D. Zhu AAML 21 17 0 14 Dec 2020