v1v2 (latest)

Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 38 4 0 18 Feb 2022
Trustworthy Anomaly Detection: A Survey Shuhan Yuan Xintao Wu FaML 151 8 0 15 Feb 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks Q. Hu Daizong Liu Wei Hu AAML 3DPC 155 23 0 15 Feb 2022
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Yonghao Xu Pedram Ghamisi AAML 80 74 0 14 Feb 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning Yawen Wu Zhepeng Wang Dewen Zeng Yiyu Shi Jingtong Hu SSL 98 16 0 14 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 132 32 0 12 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm Yaodong Yu Zitong Yang Alexander Wei Yi-An Ma Jacob Steinhardt OODD 81 44 0 11 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 79 30 0 09 Feb 2022
Adversarial Detector with Robust Classifier Takayuki Osakabe Maungmaung Aprilpyone Sayaka Shiota Hitoshi Kiya AAML 50 1 0 05 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Adel Bibi Riccardo Volpi Amartya Sanyal Philip Torr Grégory Rogez P. Dokania AAML 125 47 0 02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 268 17 0 31 Jan 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 71 1 0 29 Jan 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 177 67 0 27 Jan 2022
Boosting 3D Adversarial Attacks with Attacking On Frequency Binbin Liu Jinlai Zhang Lyujie Chen Jihong Zhu 3DPC 70 39 0 26 Jan 2022
Dynamic Deep Convolutional Candlestick Learner Jun-Hao Chen Yun-Cheng Tsai 48 4 0 21 Jan 2022
The Security of Deep Learning Defences for Medical Imaging Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML MedIm 146 9 0 21 Jan 2022
Masked Faces with Faced Masks Jiayi Zhu Qing Guo Felix Juefei Xu Yihao Huang Yang Liu G. Pu PICV CVBM AAML 80 3 0 17 Jan 2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition Hanrui Wang Shuo Wang Zhe Jin Yandan Wang Cunjian Chen Massimo Tistarelli AAML 143 16 0 11 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 93 15 0 07 Jan 2022
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training Yatong Bai Tanmay Gautam Somayeh Sojoudi AAML 117 17 0 06 Jan 2022
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness Hieu M. Le Hans Walker Dung T. Tran Peter Chin 25 0 0 05 Jan 2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness Hao Yang Min Wang Zhengfei Yu Yun Zhou OOD AAML 62 3 0 01 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 90 1 0 30 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 65 5 0 28 Dec 2021
Learning Robust and Lightweight Model through Separable Structured Transformations Xian Wei Yanhui Huang Yang Xu Mingsong Chen Hai Lan Yuanxiang Li Zhongfeng Wang Xuan Tang OOD 62 0 0 27 Dec 2021
Perlin Noise Improve Adversarial Robustness C. Tang Kun Zhang Chunfang Xing Yong Ding Zengmin Xu AAML 32 4 0 26 Dec 2021
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 41 0 0 23 Dec 2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 108 89 0 23 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 86 5 0 22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min Lin Shuicheng Yan Hanwang Zhang SILM AAML 71 62 0 22 Dec 2021
Improving Robustness with Image Filtering M. Terzi Mattia Carletti Gian Antonio Susto AAML 62 0 0 21 Dec 2021
Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 156 16 0 21 Dec 2021
A Theoretical View of Linear Backpropagation and Its Convergence Ziang Li Yiwen Guo Haodi Liu Changshui Zhang AAML 43 4 0 21 Dec 2021
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 88 2 0 20 Dec 2021
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems Thinh T. Doan 98 16 0 17 Dec 2021
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations Shivangi Aneja Lev Markhasin Matthias Niessner AAML DiffM PICV 106 21 0 16 Dec 2021
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 120 27 0 16 Dec 2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets Z. Berger Parth T. Agrawal Tianlin Liu Stefano Soatto A. Wong AAML 86 19 0 12 Dec 2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou Zhisong Pan Junyang Qiu Xin Liu Ting Rui Wei Li 78 69 0 11 Dec 2021
On Adversarial Robustness of Point Cloud Semantic Segmentation Jiacen Xu Zhe Zhou Boyuan Feng Yufei Ding Zhou Li 3DPC AAML 109 2 0 11 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 126 11 0 10 Dec 2021
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 83 2 0 09 Dec 2021
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework Ching-Yun Ko Jeet Mohapatra Sijia Liu Pin-Yu Chen Lucani E. Daniel Lily Weng SSL 79 14 0 08 Dec 2021
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather Jialu Wang Muhamad Risqi U. Saputra C. Lu Niki Trigon Andrew Markham 59 2 0 05 Dec 2021
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space Thibault Simonetto Salijona Dyrmishi Salah Ghamizi Maxime Cordy Yves Le Traon AAML 83 25 0 02 Dec 2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems Siyu Wang Yuanjiang Cao Xiaocong Chen L. Yao Xianzhi Wang Quan.Z Sheng AAML 50 3 0 02 Dec 2021
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation Tianyue Zheng Zhe Chen Shuya Ding Chao Cai Jun Luo AAML 54 5 0 01 Dec 2021
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users Jiyi Zhang Hansheng Fang W. Tann Ke Xu Chengfang Fang E. Chang AAML 79 3 0 30 Nov 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 118 59 0 30 Nov 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 79 27 0 29 Nov 2021