Exploring Connections Between Active Learning and Model Extraction

5 November 2018

Papers citing "Exploring Connections Between Active Learning and Model Extraction"

26 / 26 papers shown

Title
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks Yixiao Xu Binxing Fang Rui Wang Yinghai Zhou S. Ji Yuan Liu Mohan Li AAML MIACV 110 0 0 16 Jan 2025
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 83 2 0 10 Oct 2024
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 71 13 0 04 Aug 2022
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 110 135 0 10 Mar 2020
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 134 464 0 14 Feb 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 65 1,342 0 12 Dec 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno D. Song AAML 50 595 0 27 Jul 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,720 0 19 May 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 82 556 0 11 Apr 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 77 473 0 11 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 461 3,138 0 04 Nov 2016
Active Learning from Imperfect Labelers Songbai Yan Kamalika Chaudhuri T. Javidi 44 55 0 30 Oct 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 102 1,803 0 09 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 239 8,548 0 16 Aug 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 66 3,676 0 08 Feb 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 90 3,955 0 24 Nov 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation Kamalika Chaudhuri Sham Kakade Praneeth Netrapalli Sujay Sanghavi 40 72 0 08 Jun 2015
Active Regression by Stratification Sivan Sabato Rémi Munos 78 38 0 22 Oct 2014
Beyond Disagreement-based Agnostic Active Learning Chicheng Zhang Kamalika Chaudhuri 138 86 0 10 Jul 2014
Noisy Bayesian Active Learning Mohammad Naghshvar T. Javidi Kamalika Chaudhuri NoLa 117 22 0 09 Dec 2013
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 72 459 0 19 Jun 2013
Active and passive learning of linear separators under log-concave distributions Maria-Florina Balcan Philip M. Long 69 148 0 06 Nov 2012
Learning using Local Membership Queries Pranjal Awasthi Vitaly Feldman Varun Kanade 42 20 0 05 Nov 2012
Agnostic Active Learning Without Constraints A. Beygelzimer Daniel J. Hsu John Langford Tong Zhang VLM 110 180 0 14 Jun 2010
The Geometry of Generalized Binary Search Robert D. Nowak 86 108 0 22 Oct 2009