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The Space of Transferable Adversarial Examples

11 April 2017

Dan Boneh

Papers citing "The Space of Transferable Adversarial Examples"

50 / 301 papers shown

Title
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+ Tianlin Li Ying Wang Ziwei Xuan Guo-Jun Qi ViT 75 3 0 14 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 112 2 0 10 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 50 0 0 08 Mar 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 91 28 0 01 Jan 2023
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 74 18 0 18 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 97 15 0 12 Dec 2022
Foiling Explanations in Deep Neural Networks Snir Vitrack Tamam Raz Lapid Moshe Sipper AAML 75 17 0 27 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 71 7 0 21 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data Jaechul Roh Yajun Fang FedML CVBM AAML 61 0 0 10 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 125 2 0 20 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 83 41 0 17 Oct 2022
Characterizing Internal Evasion Attacks in Federated Learning Taejin Kim Shubhranshu Singh Nikhil Madaan Carlee Joe-Wong FedML 76 9 0 17 Sep 2022
The Space of Adversarial Strategies Ryan Sheatsley Blaine Hoak Eric Pauley Patrick McDaniel AAML 86 6 0 09 Sep 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents Stephen Casper Taylor Killian Gabriel Kreiman Dylan Hadfield-Menell AAML 75 1 0 05 Sep 2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning Zhiyuan He Yijun Yang Pin-Yu Chen Qiang Xu Tsung-Yi Ho AAML 63 9 0 31 Aug 2022
A Black-Box Attack on Optical Character Recognition Systems Samet Bayram Kenneth Barner AAML 115 5 0 30 Aug 2022
Transferability Ranking of Adversarial Examples Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML 106 0 0 23 Aug 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking Mingejie Wang Jianxiong Guo Sirui Li Dingwen Xiao Zhiqing Tang AAML 81 0 0 27 Jul 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 75 55 0 26 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 77 2 0 19 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 75 3 0 09 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 63 5 0 08 Jul 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 83 11 0 18 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 89 15 0 18 Jun 2022
Using adversarial images to improve outcomes of federated learning for non-IID data Anastasiya Danilenka M. Ganzha M. Paprzycki Jacek Mańdziuk FedML 47 1 0 16 Jun 2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning Jonah O'Brien Weiss Tiago A. O. Alves S. Kundu AAML 18 0 0 15 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 32 0 0 09 Jun 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 54 0 0 09 Jun 2022
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 96 19 0 07 Jun 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 38 2 0 01 Jun 2022
Searching for the Essence of Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Hung-yi Lee AAML 26 1 0 30 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal Sravanti Addepalli R. Venkatesh Babu AAML 112 90 0 23 Apr 2022
A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation Wanyue Zhai Jonathan Rusert Zubair Shafiq P. Srinivasan 41 5 0 22 Mar 2022
Adversarial Parameter Attack on Deep Neural Networks Lijia Yu Yihan Wang Xiao-Shan Gao AAML 71 8 0 20 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 104 1 0 04 Mar 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 115 68 0 17 Feb 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash 92 11 0 11 Feb 2022
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 88 37 0 29 Dec 2021
Mutual Adversarial Training: Learning together is better than going alone Jiang-Long Liu Chun Pong Lau Hossein Souri Soheil Feizi Ramalingam Chellappa OOD AAML 74 25 0 09 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
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks Lijia Yu Xiao-Shan Gao AAML 98 5 0 08 Nov 2021
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen Xi Wu Yang Guo Yingyu Liang S. Jha ELM AAML 85 15 0 27 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
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff Adel Javanmard M. Mehrabi AAML 59 5 0 22 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI Samuel Hess G. Ditzler AAML 76 1 0 22 Oct 2021
Multi-concept adversarial attacks Vibha Belavadi Yan Zhou Murat Kantarcioglu B. Thuraisingham AAML 83 0 0 19 Oct 2021
Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond) Kristof Meding Luca M. Schulze Buschoff Robert Geirhos Felix Wichmann 95 43 0 12 Oct 2021
Demystifying the Transferability of Adversarial Attacks in Computer Networks Ehsan Nowroozi Yassine Mekdad Mohammad Hajian Berenjestanaki Mauro Conti Abdeslam El Fergougui AAML 89 34 0 09 Oct 2021