Do Adversarially Robust ImageNet Models Transfer Better?

16 July 2020

Papers citing "Do Adversarially Robust ImageNet Models Transfer Better?"

50 / 110 papers shown

Title
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 29 0 0 10 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 40 0 0 02 May 2025
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Patrick Müller Alexander Braun M. Keuper 59 0 0 25 Apr 2025
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 69 0 0 24 Apr 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 63 0 0 12 Mar 2025
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks Liming Lu Shuchao Pang Siyuan Liang Haotian Zhu Xiyu Zeng Aishan Liu Yunhuai Liu Yongbin Zhou AAML 51 1 0 05 Mar 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 69 1 0 28 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 45 0 0 13 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 43 0 0 31 Dec 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu X. Li 110 0 0 13 Oct 2024
Self-Masking Networks for Unsupervised Adaptation Alfonso Taboada Warmerdam Mathilde Caron Yuki M. Asano 43 1 0 11 Sep 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 39 3 0 15 Jul 2024
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision Pranav Jeevan Amit Sethi VLM 31 4 0 09 Jun 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 44 6 0 30 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 28 0 0 30 Mar 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 23 5 0 19 Mar 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 31 1 0 16 Feb 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 23 0 0 26 Jan 2024
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David A. Wagner AAML 31 5 0 26 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 35 4 0 06 Oct 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 54 1 0 21 Aug 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 21 0 15 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 27 1 0 29 Jun 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Y. Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang Yingyan Lin AAML 60 6 0 10 Jun 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex Drew Linsley I. F. Rodriguez Thomas Fel Michael Arcaro Saloni Sharma Margaret Livingstone Thomas Serre 35 18 0 06 Jun 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 25 11 0 30 May 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 38 4 0 27 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 25 7 0 25 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 37 49 0 18 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 52 64 0 10 May 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Y. Fu Ye Yuan Shang Wu Jiayi Yuan Yingyan Lin OOD 56 3 0 24 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 28 9 0 22 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 28 55 0 16 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 72 0 28 Feb 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli F. Khan AAML 20 1 0 30 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 28 18 0 23 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 26 16 0 18 Dec 2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 21 7 0 18 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 27 5 0 15 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 39 59 0 14 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 27 7 0 30 Nov 2022
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds Henry Kvinge Grayson Jorgenson Davis Brown Charles Godfrey Tegan H. Emerson 52 2 0 19 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 24 20 0 17 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 33 71 0 08 Nov 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 27 0 0 31 Oct 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation Jogendra Nath Kundu Suvaansh Bhambri Akshay Ravindra Kulkarni Hiran Sarkar Varun Jampani R. Venkatesh Babu 37 21 0 28 Oct 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 34 13 0 21 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 51 197 0 20 Oct 2022