QUEEN: Query Unlearning against Model Extraction

QUEEN: Query Unlearning against Model Extraction

1 July 2024

Tianqing Zhu

Lefeng Zhang

Bo Liu

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Papers citing "QUEEN: Query Unlearning against Model Extraction"

19 / 19 papers shown

Title
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 126 194 0 11 Jan 2024
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan Jian Liang Ran He AAML MLAU 102 31 0 21 Oct 2022
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 92 111 0 31 Aug 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 89 141 0 15 Jun 2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework Shu Zhen Zhang Ran Xu Caiming Xiong Chetan Ramaiah SSL 56 72 0 27 Apr 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 95 68 0 17 Feb 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 80 55 0 27 Jan 2022
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 81 189 0 30 Nov 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 104 516 0 28 Jul 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 71 153 0 06 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 180 4,580 0 23 Apr 2020
Implementing the Exponential Mechanism with Base-2 Differential Privacy Christina Ilvento 55 28 0 09 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 90 145 0 02 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 196 486 0 25 Nov 2019
Defending Against Model Stealing Attacks with Adaptive Misinformation Sanjay Kariyappa Moinuddin K. Qureshi MLAU AAML 54 109 0 16 Nov 2019
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks Tribhuvanesh Orekondy Bernt Schiele Mario Fritz AAML 57 166 0 26 Jun 2019
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations Taesung Lee Ben Edwards Ian Molloy D. Su AAML 105 41 0 31 May 2018
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 76 3,685 0 08 Feb 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014