Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data

14 June 2018

Jacson Rodrigues Correia-Silva

Rodrigo Berriel

C. Badue

Alberto F. de Souza

Thiago Oliveira-Santos

MLAU

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Papers citing "Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data"

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Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks Daryna Oliynyk Rudolf Mayer Andreas Rauber AAML 51 0 0 08 Mar 2025
Examining the Threat Landscape: Foundation Models and Model Stealing Ankita Raj Deepankar Varma Chetan Arora AAML 83 1 0 25 Feb 2025
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 Zhihong Tian MIACV AAML 73 0 0 20 Jan 2025
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices Younghan Lee Sohee Jun Yungi Cho Woorim Han Hyungon Moon Y. Paek AAML 31 2 0 05 Mar 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection Akshit Jindal Vikram Goyal Saket Anand Chetan Arora FedML 22 2 0 08 Nov 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation Vlad Hondru Radu Tudor Ionescu DiffM 55 1 0 29 Sep 2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems Debopam Sanyal Jui-Tse Hung Manavi Agrawal Prahlad Jasti Shahab Nikkhoo S. Jha Tianhao Wang Sibin Mohan Alexey Tumanov 51 0 0 03 Jul 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties Jingwei Sun Zhixu Du Anna Dai Saleh Baghersalimi Alireza Amirshahi David Atienza Yiran Chen FedML 21 8 0 28 Mar 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 65 5 0 13 Mar 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning Guangsheng Yu Xu Wang Caijun Sun Qin Wang Ping Yu Wei Ni R. Liu Xiwei Xu OOD AI4CE 29 25 0 07 Jan 2023
Model Extraction Attack against Self-supervised Speech Models Tsung-Yuan Hsu Chen-An Li Tung-Yu Wu Hung-yi Lee 32 1 0 29 Nov 2022
Careful What You Wish For: on the Extraction of Adversarially Trained Models Kacem Khaled Gabriela Nicolescu F. Magalhães MIACV AAML 35 4 0 21 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 27 17 0 30 Jun 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 57 106 0 16 Jun 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 25 10 0 13 Apr 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 16 24 0 15 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 44 22 0 12 Jan 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark Xuanli He Qiongkai Xu Lingjuan Lyu Fangzhao Wu Chenguang Wang WaLM 180 95 0 05 Dec 2021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories Adnan Siraj Rakin Md Hafizul Islam Chowdhuryy Fan Yao Deliang Fan AAML MIACV 42 110 0 08 Nov 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 37 24 0 31 Aug 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 30 71 0 04 Jul 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 25 7 0 21 Jun 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 29 35 0 19 May 2021
Proof-of-Learning: Definitions and Practice Hengrui Jia Mohammad Yaghini Christopher A. Choquette-Choo Natalie Dullerud Anvith Thudi Varun Chandrasekaran Nicolas Papernot AAML 25 99 0 09 Mar 2021
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models? Jacson Rodrigues Correia-Silva Rodrigo Berriel C. Badue Alberto F. de Souza Thiago Oliveira-Santos MLAU 21 14 0 21 Jan 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 32 142 0 14 Dec 2020
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 15 181 0 30 Nov 2020
Knowledge-Enriched Distributional Model Inversion Attacks Si-An Chen Mostafa Kahla R. Jia Guo-Jun Qi 24 93 0 08 Oct 2020
Model extraction from counterfactual explanations Ulrich Aïvodji Alexandre Bolot Sébastien Gambs MIACV MLAU 33 51 0 03 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 41 17 0 02 Sep 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit Kangjie Chen Shangwei Guo Tianwei Zhang Xiaofei Xie Yang Liu MLAU MIACV OffRL 24 45 0 09 Jun 2020
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 15 218 0 27 Feb 2020
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker Nicholas Roberts Vinay Uday Prabhu Matthew McAteer 13 18 0 19 Dec 2019
DeepMimic: Mentor-Student Unlabeled Data Based Training Itay Mosafi E. David N. Netanyahu 29 6 0 24 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 39 68 0 06 Nov 2019
Extraction of Complex DNN Models: Real Threat or Boogeyman? B. Atli S. Szyller Mika Juuti Samuel Marchal Nadarajah Asokan MLAU MIACV 33 45 0 11 Oct 2019
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks Tribhuvanesh Orekondy Bernt Schiele Mario Fritz AAML 19 164 0 26 Jun 2019
A framework for the extraction of Deep Neural Networks by leveraging public data Soham Pal Yash Gupta Aditya Shukla Aditya Kanade S. Shevade V. Ganapathy FedML MLAU MIACV 36 56 0 22 May 2019
Stealing Neural Networks via Timing Side Channels Vasisht Duddu D. Samanta D. V. Rao V. Balas AAML MLAU FedML 33 133 0 31 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 309 3,115 0 04 Nov 2016