v1v2v3 (latest)

On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning

7 October 2024

Yongyi Su

Yushu Li

Nanqing Liu

Kui Jia

Xulei Yang

Papers citing "On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning"

50 / 56 papers shown

Title
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images Nanqing Liu Xun Xu Yongyi Su Haojie Zhang Heng-Chao Li VLM 115 15 0 20 Sep 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams Ziqiang Wang Zhixiang Chi Yanan Wu Li Gu Zhi Liu Konstantinos Plataniotis Yang Wang OOD TTA 72 4 0 16 Jul 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation Zhixiang Chi Li Gu Tao Zhong Huan Liu Yuanhao Yu Konstantinos N Plataniotis Yang Wang VLM OOD 91 10 0 05 May 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples Hyejin Park Jeongyeon Hwang Sunung Mun Sangdon Park Jungseul Ok AAML TTA OOD 80 6 0 28 Mar 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization Yanan Wu Zhixiang Chi Yang Wang Konstantinos N. Plataniotis Songhe Feng OOD 81 20 0 15 Dec 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu Kui Jia TTA 154 26 0 26 Sep 2023
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yu-Sheng Li Xun Xu Yongyi Su Kui Jia OOD VLM TTA 65 22 0 19 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 59 6 0 16 Aug 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction Robert A. Marsden Mario Döbler Bin Yang TTA 84 38 0 01 Jun 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 399 3,514 0 14 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 397 7,421 0 05 Apr 2023
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization Yijin Chen Xun Xu Yongyi Su Kui Jia TTA OOD ObjD 107 6 0 31 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 133 243 0 27 Mar 2023
Robust Test-Time Adaptation in Dynamic Scenarios Longhui Yuan Binhui Xie Shuangliang Li TTA 96 126 0 24 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training Yongyi Su Xun Xu Tianrui Li Kui Jia OOD TTA 68 17 0 20 Mar 2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization Jun S. Song Jungsoo Lee In So Kweon Sungha Choi TTA 86 94 0 03 Mar 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 108 280 0 24 Feb 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 111 9 0 29 Jan 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation Dhanajit Brahma Piyush Rai TTA 68 36 0 19 Dec 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation Mario Döbler Robert A. Marsden Bin Yang OOD TTA 74 90 0 23 Nov 2022
Visual Prompt Tuning for Test-time Domain Adaptation Yunhe Gao Xingjian Shi Yi Zhu Hongya Wang Zhiqiang Tang Xiong Zhou Mu Li Dimitris N. Metaxas VPVLM VLM 165 89 0 10 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 143 33 0 08 Oct 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 115 131 0 10 Aug 2022
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su Xun Xu Kui Jia TTA OOD 88 46 0 06 Jun 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 96 351 0 06 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 114 432 0 25 Mar 2022
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen Xi Wu Yang Guo Yingyu Liang S. Jha ELM AAML 74 15 0 27 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 135 328 0 18 Oct 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 105 136 0 21 Jun 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 70 18 0 30 Apr 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 152 33 0 27 Apr 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 64 54 0 22 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 249 194 0 13 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 123 183 0 28 May 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 241 1,861 0 03 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 138 1,251 0 20 Feb 2020
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 123 846 0 08 Aug 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 124 68 0 01 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 198 3,458 0 28 Mar 2019
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 92 683 0 28 Sep 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 170 1,208 0 23 Apr 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 91 1,097 0 03 Apr 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 112 1,871 0 02 Jan 2018
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 166 2,160 0 21 Aug 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 106 1,887 0 14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 321 12,151 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 185 2,731 0 19 May 2017
Generative Poisoning Attack Method Against Neural Networks Chaofei Yang Qing Wu Hai Helen Li Yiran Chen AAML 76 218 0 03 Mar 2017