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Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

50 / 928 papers shown

Title
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 70 2 0 03 Sep 2023
Online Adaptive Mahalanobis Distance Estimation Lianke Qin Aravind Reddy Zhao Song 70 1 0 02 Sep 2023
Adversarial Attacks on Foundational Vision Models Nathan Inkawhich Gwendolyn McDonald R. Luley VLM 73 13 0 28 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 138 11 0 22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 98 1 0 21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 94 19 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 107 44 0 20 Aug 2023
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks Mirazul Haque Wei Yang AAML 50 2 0 17 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 74 5 0 15 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 90 3 0 12 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation Xuantong Liu Yaoyao Zhong Yuhang Zhang Lixiong Qin Weihong Deng AAML 94 25 0 11 Aug 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability Bin Chen Jia-Li Yin Shukai Chen Bo-Hao Chen Ximeng Liu AAML 112 44 0 05 Aug 2023
FROD: Robust Object Detection for Free Muhammad Awais Awais Weiming Zhuang Zhuang Lingjuan Lingjuan Lyu Sung-Ho Sung-Ho Bae ObjD 89 1 0 03 Aug 2023
Transferable Attack for Semantic Segmentation Mengqi He Jing Zhang Zhaoyuan Yang Mingyi He Nick Barnes Yuchao Dai 66 2 0 31 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 73 2 0 21 Jul 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 145 24 0 15 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty Tao Wu Tie-Mei Luo D. Wunsch AAML 76 10 0 09 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 64 0 0 07 Jul 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack Jie Ning Jiebao Sun Yao Li Zhichang Guo Wangmeng Zuo 69 6 0 28 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 85 10 0 28 Jun 2023
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection Yueming Lyu Yue Jiang Ziwen He Bo Peng Yunfan Liu Jing Dong PICV AAML 92 9 0 26 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 129 29 0 22 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 97 8 0 14 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 91 48 0 08 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 47 1 0 07 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 62 4 0 02 Jun 2023
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems Ashim Gupta Amrith Krishna AAML 110 16 0 31 May 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Chongxuan Li Ngai-Man Cheung Min Lin VLM AAML MLLM 149 184 0 26 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text Ashim Gupta Carter Blum Temma Choji Yingjie Fei Shalin S Shah Alakananda Vempala Vivek Srikumar AAML 62 9 0 25 May 2023
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems Guangke Chen Yedi Zhang Zhe Zhao Fu Song AAML 71 14 0 23 May 2023
Multi-Task Models Adversarial Attacks Lijun Zhang Xiao Liu Kaleel Mahmood Caiwen Ding Hui Guan AAML 89 0 0 20 May 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 91 10 0 15 May 2023
Inter-frame Accelerate Attack against Video Interpolation Models Junpei Liao Zhikai Chen Liang Yi Wenyuan Yang Baoyuan Wu Xiaochun Cao AAML 95 1 0 11 May 2023
Physical Adversarial Attacks for Surveillance: A Survey Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 101 8 0 01 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples Chenshuang Zhang Chaoning Zhang Taegoo Kang Donghun Kim Sung-Ho Bae In So Kweon AAML VLM 90 3 0 01 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 78 22 0 26 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 71 18 0 23 Apr 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Isabell Lederer Rudolf Mayer Andreas Rauber 98 19 0 22 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 129 22 0 20 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 63 2 0 18 Apr 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Jingyuan Wang Yufan Wu Mingxuan Li Xin Lin Junjie Wu Chao Li AAML 62 13 0 14 Apr 2023
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu 95 25 0 13 Apr 2023
False Claims against Model Ownership Resolution Jian Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 123 12 0 13 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 52 5 0 05 Apr 2023
Hyper-parameter Tuning for Adversarially Robust Models Pedro Mendes Paolo Romano David Garlan AAML 44 2 0 05 Apr 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 63 1 0 05 Apr 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu Yichi Zhang Hai Chen Yinpeng Dong Shu Zhao Wenbo Ding Jiachen Zhong Shibao Zheng AAML 3DPC 85 44 0 30 Mar 2023
Ensemble-based Blackbox Attacks on Dense Prediction Zikui Cai Yaoteng Tan M. Salman Asif AAML 67 17 0 25 Mar 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai Hechang Chen AAML MedIm 129 19 0 24 Mar 2023