Stealing Hyperparameters in Machine Learning

14 February 2018

Papers citing "Stealing Hyperparameters in Machine Learning"

50 / 206 papers shown

Title
Memorization of Named Entities in Fine-tuned BERT Models Andor Diera N. Lell Aygul Garifullina A. Scherp 15 0 0 07 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
Model Extraction Attack against Self-supervised Speech Models Tsung-Yuan Hsu Chen An Li Tung-Yu Wu Hung-yi Lee 19 1 0 29 Nov 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 38 29 0 27 Nov 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 32 2 0 28 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 17 4 0 20 Oct 2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models Sohaib Ahmad Benjamin Fuller Kaleel Mahmood AAML 14 0 0 22 Sep 2022
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models William Hackett Stefan Trawicki Zhengxin Yu N. Suri Peter Garraghan MIACV AAML 13 3 0 13 Sep 2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions Chulin Xie Zhong Cao Yunhui Long Diange Yang Ding Zhao Bo-wen Li 11 4 0 08 Sep 2022
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System Zhendong Wang Xiaoming Zeng Xulong Tang Danfeng Zhang Xingbo Hu Yang Hu AAML MIACV FedML 24 6 0 29 Aug 2022
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning Xinlei He Hongbin Liu Neil Zhenqiang Gong Yang Zhang AAML MIACV 10 14 0 25 Jul 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 39 106 0 16 Jun 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 18 5 0 11 Jun 2022
One Picture is Worth a Thousand Words: A New Wallet Recovery Process H. Chabanne Vincent Despiegel Linda Guiga 22 0 0 05 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms Yifan Yan Xudong Pan Yining Wang Mi Zhang Min Yang AAML 17 14 0 30 Apr 2022
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies Shaltiel Eloul Fran Silavong Sanket Kamthe Antonios Georgiadis Sean J. Moran FedML 15 5 0 26 Apr 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 17 37 0 21 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 49 42 0 18 Feb 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 25 34 0 19 Jan 2022
Evaluating the Security of Open Radio Access Networks D. Mimran Ron Bitton Y. Kfir Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai 37 23 0 16 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 8 25 0 15 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 31 21 0 12 Jan 2022
SoK: A Study of the Security on Voice Processing Systems Robert Chang Logan Kuo Arthur Liu Nader Sehatbakhsh 16 0 0 24 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 16 60 0 15 Dec 2021
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 24 639 0 07 Dec 2021
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users Jiyi Zhang Hansheng Fang W. Tann Ke Xu Chengfang Fang E. Chang AAML 21 3 0 30 Nov 2021
Property Inference Attacks Against GANs Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 28 52 0 15 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models A. Salem Michael Backes Yang Zhang AAML 15 28 0 08 Nov 2021
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 56 9 0 05 Nov 2021
Optimizing Secure Decision Tree Inference Outsourcing Yifeng Zheng Cong Wang Ruochen Wang Huayi Duan Surya Nepal 11 6 0 31 Oct 2021
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 11 7 0 28 Oct 2021
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture Xinyu Tang Saeed Mahloujifar Liwei Song Virat Shejwalkar Milad Nasr Amir Houmansadr Prateek Mittal 19 74 0 15 Oct 2021
Bandwidth Utilization Side-Channel on ML Inference Accelerators Sarbartha Banerjee Shijia Wei Prakash Ramrakhyani Mohit Tiwari 20 3 0 14 Oct 2021
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data Masataka Tasumi Kazuki Iwahana Naoto Yanai Katsunari Shishido Toshiya Shimizu Yuji Higuchi I. Morikawa Jun Yajima AAML 28 4 0 30 Sep 2021
Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel H. Maia Chang Xiao Dingzeyu Li E. Grinspun Changxi Zheng AAML 34 27 0 15 Sep 2021
Formalizing and Estimating Distribution Inference Risks Anshuman Suri David E. Evans MIACV 26 51 0 13 Sep 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning Hongbin Liu Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong 4 94 0 25 Aug 2021
"Adversarial Examples" for Proof-of-Learning Rui Zhang Jian-wei Liu Yuan Ding Zhibo Wu Qing Wu K. Ren AAML 20 32 0 21 Aug 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 23 4 0 21 Jul 2021
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing Jingtao Li Zhezhi He Adnan Siraj Rakin Deliang Fan C. Chakrabarti 22 24 0 20 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 17 71 0 04 Jul 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang X. Zhang Wenke Lee Yuval Elovici Battista Biggio 33 81 0 30 Jun 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 17 7 0 21 Jun 2021
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs Chen Chen Xuanli He Lingjuan Lyu Fangzhao Wu SILM MIACV 57 7 0 23 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 22 7 0 13 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 25 49 0 05 May 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 19 33 0 27 Apr 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 37 10 0 21 Apr 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 20 15 0 16 Apr 2021