v1v2 (latest)

Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Adversarial Attacks in Cooperative AI Ted Fujimoto Arthur Paul Pedersen AAML 85 2 0 29 Nov 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 75 53 0 29 Nov 2021
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images Dvij Kalaria Aritra Hazra P. Chakrabarti AAML 130 0 0 28 Nov 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack Zheng Yuan Jie Zhang Shiguang Shan OOD 89 27 0 27 Nov 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 115 3 0 27 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 111 12 0 26 Nov 2021
Thundernna: a white box adversarial attack Linfeng Ye Shayan Mohajer Hamidi AAML 48 5 0 24 Nov 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification Daizong Liu Wei Hu 3DPC 125 51 0 22 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 69 2 0 22 Nov 2021
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong Jiadong Lin Min Zhang John E. Hopcroft Kun He AAML 129 115 0 21 Nov 2021
Fooling Adversarial Training with Inducing Noise Zhirui Wang Yifei Wang Yisen Wang 78 14 0 19 Nov 2021
Consistent Semantic Attacks on Optical Flow Tomer Koren L. Talker Michael Dinerstein R. Jevnisek AAML 65 4 0 16 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search Pengfei Xia Ziqiang Li Bin Li AAML 121 3 0 09 Nov 2021
Defense Against Explanation Manipulation Ruixiang Tang Ninghao Liu Fan Yang Na Zou Helen Zhou AAML 91 12 0 08 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 127 27 0 03 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation Mrinal Anand Aditya Garg SSL 46 2 0 03 Nov 2021
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach A. Sarkar Anirban Sarkar Sowrya Gali V. Balasubramanian AAML 57 7 0 30 Oct 2021
Adversarial Robustness in Multi-Task Learning: Promises and Illusions Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon OOD AAML 90 18 0 26 Oct 2021
Ensemble Federated Adversarial Training with Non-IID data Shuang Luo Didi Zhu Zexi Li Chao-Xiang Wu FedML 66 7 0 26 Oct 2021
A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness Chang Song Riya Ranjan H. Li MQ 67 4 0 23 Oct 2021
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks Jannis Kurtz B. Bah MQ 55 4 0 21 Oct 2021
Moiré Attack (MA): A New Potential Risk of Screen Photos Dantong Niu Ruohao Guo Yisen Wang AAML 74 2 0 20 Oct 2021
Multi-concept adversarial attacks Vibha Belavadi Yan Zhou Murat Kantarcioglu B. Thuraisingham AAML 85 0 0 19 Oct 2021
Boosting the Transferability of Video Adversarial Examples via Temporal Translation Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 112 34 0 18 Oct 2021
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models Bibek Poudel Weizi Li AAML MLAU OOD 42 21 0 17 Oct 2021
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm Tengfei Zhao Zhaocheng Ge Han Hu Di Shi AAML 57 3 0 15 Oct 2021
Adversarial examples by perturbing high-level features in intermediate decoder layers Vojtěch Čermák Lukáš Adam AAML GAN 37 0 0 14 Oct 2021
Boosting the Certified Robustness of L-infinity Distance Nets Bohang Zhang Du Jiang Di He Liwei Wang OOD 93 30 0 13 Oct 2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness Xiao Yang Yinpeng Dong Wenzhao Xiang Tianyu Pang Hang Su Jun Zhu AAML 66 4 0 13 Oct 2021
Intriguing Properties of Input-dependent Randomized Smoothing Peter Súkeník A. Kuvshinov Stephan Günnemann AAML UQCV 74 22 0 11 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 71 35 0 09 Oct 2021
Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning Nazmul Karim Umar Khalid Nick Meeker Sarinda Samarasinghe 37 3 0 09 Oct 2021
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 95 0 0 08 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 119 20 0 07 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 38 1 0 07 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 109 80 0 06 Oct 2021
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration Huan He Shifan Zhao Yuanzhe Xi Joyce C. Ho Y. Saad 68 1 0 06 Oct 2021
Universal Adversarial Spoofing Attacks against Face Recognition Takuma Amada Seng Pei Liew Kazuya Kakizaki Toshinori Araki PICV CVBM AAML 78 9 0 02 Oct 2021
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks Jianxiang Feng M. Durner Zoltán-Csaba Márton Ferenc Bálint-Benczédi Rudolph Triebel UQCV BDL 84 11 0 27 Sep 2021
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation Mengxi Wu Hao Huang Yi Fang 3DPC 69 3 0 21 Sep 2021
ACReL: Adversarial Conditional value-at-risk Reinforcement Learning Mathieu Godbout M. Heuillet Sharath Chandra R. Bhati Audrey Durand 72 1 0 20 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 71 4 0 16 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 47 8 0 13 Sep 2021
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 93 0 0 12 Sep 2021
Spatially Focused Attack against Spatiotemporal Graph Neural Networks Fuqiang Liu L. Miranda-Moreno Lijun Sun AAML AI4TS 49 5 0 10 Sep 2021
Towards Transferable Adversarial Attacks on Vision Transformers Zhipeng Wei Jingjing Chen Micah Goldblum Zuxuan Wu Tom Goldstein Yu-Gang Jiang ViT AAML 106 124 0 09 Sep 2021
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples Guanxiong Liu Issa M. Khalil Abdallah Khreishah Nhathai Phan SILM AAML 44 15 0 03 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 92 24 0 31 Aug 2021
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 48 8 0 31 Aug 2021
Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning Doha Al Bared M. Nassar AAML 26 1 0 31 Aug 2021