DaST: Data-free Substitute Training for Adversarial Attacks

28 March 2020

Papers citing "DaST: Data-free Substitute Training for Adversarial Attacks"

50 / 60 papers shown

Title
Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions Yunfei Yang Xiaojun Chen Yuexin Xuan Zhendong Zhao AAML 65 0 0 23 Mar 2025
Examining the Threat Landscape: Foundation Models and Model Stealing Ankita Raj Deepankar Varma Chetan Arora AAML 73 1 0 25 Feb 2025
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 37 0 0 27 Sep 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 28 1 0 31 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images Mingyuan Fan Yang Liu Cen Chen Ximeng Liu AAML 23 0 0 13 Jul 2024
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 36 0 0 21 Jun 2024
Investigating White-Box Attacks for On-Device Models M. Zhou Xiang Gao Jing Wu Kui Liu Hailong Sun Li Li AAML 34 9 0 08 Feb 2024
A Generative Approach to Surrogate-based Black-box Attacks Raha Moraffah Huan Liu AAML 19 0 0 05 Feb 2024
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks Zerui Wang Yan Liu AAML 25 1 0 22 Jan 2024
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training Rongwu Xu Zhixuan Fang FedML 23 0 0 21 Jan 2024
MEAOD: Model Extraction Attack against Object Detectors Zeyu Li Chenghui Shi Yuwen Pu Xuhong Zhang Yu Li Jinbao Li Shouling Ji AAML MIACV 30 3 0 22 Dec 2023
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 16 4 0 16 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 60 3 0 20 Nov 2023
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection Akshit Jindal Vikram Goyal Saket Anand Chetan Arora FedML 20 2 0 08 Nov 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 31 6 0 26 Oct 2023
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack Renyang Liu Jinhong Zhang Kwok-Yan Lam Jun Zhao Wei Zhou 17 1 0 15 Oct 2023
Dual Student Networks for Data-Free Model Stealing James Beetham Navid Kardan Ajmal Saeed Mian M. Shah 45 17 0 18 Sep 2023
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks Kacem Khaled Mouna Dhaouadi F. Magalhães Gabriela Nicolescu AAML 14 2 0 04 Sep 2023
Continual Learning From a Stream of APIs Enneng Yang Zhenyi Wang Li Shen Nan Yin Tongliang Liu Guibing Guo Xingwei Wang Dacheng Tao CLL 27 3 0 31 Aug 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 29 0 0 24 Jul 2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index Hongwei Yao Zheng Li Haiqin Weng Feng Xue Kui Ren Zhan Qin 18 4 0 20 Jun 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models Qinhong Zhou Zonghan Yang Peng Li Yang Liu 22 3 0 15 Jun 2023
Extracting Cloud-based Model with Prior Knowledge S. Zhao Kangjie Chen Meng Hao Jian Zhang Guowen Xu Hongwei Li Tianwei Zhang AAML MIACV SILM MLAU SLR 36 5 0 07 Jun 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems Mingyi Zhou Xiang Gao Jing Wu John C. Grundy Xiao Chen Chunyang Chen Li Li AAML 31 12 0 01 Jun 2023
Multi-Task Models Adversarial Attacks Lijun Zhang Xiao Liu Kaleel Mahmood Caiwen Ding Hui Guan AAML 19 0 0 20 May 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data Pratik Karmakar D. Basu MIACV 18 6 0 16 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images Xuxiang Sun Gong Cheng Lei Pei Hongda Li Junwei Han AAML 15 38 0 13 Feb 2023
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Ajmal Saeed Mian M. Shah AAML 26 1 0 23 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks Gaurav Kumar Nayak Inder Khatri Ruchit Rawal Anirban Chakraborty AAML 25 1 0 03 Nov 2022
ODG-Q: Robust Quantization via Online Domain Generalization Chaofan Tao Ngai Wong MQ 31 1 0 17 Oct 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia Bangjie Yin Taiping Yao Shouhong Ding Chunhua Shen Xiaokang Yang Chao Ma AAML CVBM 23 48 0 13 Oct 2022
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection Siyuan Liang Longkang Li Yanbo Fan Xiaojun Jia Jingzhi Li Baoyuan Wu Xiaochun Cao AAML 23 34 0 16 Sep 2022
Transferability Ranking of Adversarial Examples Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML 28 0 0 23 Aug 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan F. Khan AAML 20 8 0 18 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label Shengshan Hu Ziqi Zhou Yechao Zhang L. Zhang Yifeng Zheng Yuanyuan HE Hai Jin AAML 22 44 0 01 Jul 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 30 5 0 16 Jun 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models Jie M. Zhang Chen Chen Lingjuan Lyu 55 14 0 23 May 2022
Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal Sravanti Addepalli R. Venkatesh Babu AAML 24 85 0 23 Apr 2022
DST: Dynamic Substitute Training for Data-free Black-box Attack Wenxuan Wang Xuelin Qian Yanwei Fu Xiangyang Xue OOD AAML 11 17 0 03 Apr 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 30 21 0 09 Mar 2022
Enhance transferability of adversarial examples with model architecture Mingyuan Fan Wenzhong Guo Shengxing Yu Zuobin Ying Ximeng Liu SILM AAML 13 7 0 28 Feb 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks Chi Hong Jiyue Huang L. Chen 19 2 0 31 Jan 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection Siyuan Liang Baoyuan Wu Yanbo Fan Xingxing Wei Xiaochun Cao AAML 22 70 0 22 Jan 2022
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 29 48 0 31 Dec 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 19 22 0 29 Sep 2021
A Novel Data Encryption Method Inspired by Adversarial Attacks Praveen Fernando Jin Wei-Kocsis AAML 13 2 0 14 Sep 2021
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction Zhenrui Yue Zhankui He Huimin Zeng Julian McAuley MLAU AAML 9 65 0 01 Sep 2021
On the Robustness of Domain Adaption to Adversarial Attacks Liyuan Zhang Yuhang Zhou Lei Zhang OOD AAML 8 2 0 04 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 26 51 0 31 Jul 2021