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Data-Free Hard-Label Robustness Stealing Attack

10 December 2023

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Papers citing "Data-Free Hard-Label Robustness Stealing Attack"

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Title
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation Kien Do Hung Le D. Nguyen Dang Nguyen Haripriya Harikumar T. Tran Santu Rana Svetha Venkatesh 48 33 0 21 Sep 2022
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 91 302 0 18 Oct 2021
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data Kuluhan Binici N. Pham T. Mitra K. Leman 79 41 0 11 Aug 2021
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack Yixu Wang Jie Li Hong Liu Yan Wang Yongjian Wu Feiyue Huang Rongrong Ji AAML 89 36 0 03 May 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 117 101 0 04 Jan 2021
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 79 189 0 30 Nov 2020
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms Antonio Bărbălău Adrian Cosma Radu Tudor Ionescu Marius Popescu MIACV MLAU 71 43 0 21 Oct 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 69 153 0 06 May 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 227 1,858 0 03 Mar 2020
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 54 230 0 23 May 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 155 795 0 30 Apr 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 204 19,333 0 13 Jan 2018
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 60 273 0 19 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 109 1,810 0 09 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,000 0 23 May 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014