Marich: A Query-efficient Distributionally Equivalent Model Extraction
Attack using Public Data

v1v2 (latest)

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data

16 February 2023

Pratik Karmakar

ArXiv (abs)PDF HTML

Papers citing "Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data"

18 / 18 papers shown

Title
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning Yeachan Kim Bonggun Shin 48 27 0 10 Jun 2022
DeepAL: Deep Active Learning in Python Kuan-Hao Huang AI4CE 84 17 0 30 Nov 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 61 39 0 19 Jul 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 147 206 0 27 Feb 2021
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 79 189 0 30 Nov 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 106 1,148 0 30 Aug 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget Ashish Dandekar D. Basu S. Bressan 83 8 0 02 Mar 2020
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 236 8,447 0 19 Jun 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 49 154 0 28 May 2019
Exploring Connections Between Active Learning and Model Extraction Varun Chandrasekaran Kamalika Chaudhuri Irene Giacomelli Shane Walker Songbai Yan MIACV 205 159 0 05 Nov 2018
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information L. Batina S. Bhasin Dirmanto Jap S. Picek AAML 46 65 0 22 Oct 2018
Model Reconstruction from Model Explanations S. Milli Ludwig Schmidt Anca Dragan Moritz Hardt FAtt 61 178 0 13 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 77 460 0 03 Jul 2018
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
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,162 0 01 Jul 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,682 0 08 Feb 2016
Variational Optimization J. Staines David Barber DRL 115 55 0 18 Dec 2012

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.