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Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring

13 February 2018

Yossi Adi

Papers citing "Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring"

50 / 370 papers shown

Title
Auditing Membership Leakages of Multi-Exit Networks Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 73 34 0 23 Aug 2022
Robust and Large-Payload DNN Watermarking via Fixed, Distribution-Optimized, Weights B. Tondi Andrea Costanzo Mauro Barni 28 4 0 23 Aug 2022
Customized Watermarking for Deep Neural Networks via Label Distribution Perturbation Tzu-Yun Chien Chih-Ya Shen AAML 32 1 0 10 Aug 2022
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning Long Dai Jiarong Mao Xuefeng Fan Xiaoyi Zhou 34 2 0 09 Aug 2022
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning Tianxing Zhang Hanzhou Wu Xiaofeng Lu Guangling Sun AAML 66 5 0 08 Aug 2022
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering Yong-Jin Liu Hanzhou Wu Xinpeng Zhang AAML 85 9 0 08 Aug 2022
FBI: Fingerprinting models with Benign Inputs Thibault Maho Teddy Furon Erwan Le Merrer AAML 63 4 0 05 Aug 2022
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 103 14 0 04 Aug 2022
Deep Fidelity in DNN Watermarking: A Study of Backdoor Watermarking for Classification Models Guang Hua Andrew Beng Jin Teoh 103 14 0 01 Aug 2022
DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking Abhishek Chakraborty Daniel Xing Yuntao Liu Ankur Srivastava AAML MLAU 45 7 0 27 Jul 2022
Certified Neural Network Watermarks with Randomized Smoothing Arpit Bansal Ping Yeh-Chiang Michael J. Curry R. Jain Curtis Wigington Varun Manjunatha John P. Dickerson Tom Goldstein AAML 118 41 0 16 Jul 2022
Image and Model Transformation with Secret Key for Vision Transformer Hitoshi Kiya Ryota Iijima Maungmaung Aprilpyone Yuma Kinoshita ViT 78 21 0 12 Jul 2022
A Secure Fingerprinting Framework for Distributed Image Classification Guowen Xu Xingshuo Han Anguo Zhang Tianwei Zhang FedML 52 0 0 11 Jul 2022
Conflicting Interactions Among Protection Mechanisms for Machine Learning Models S. Szyller Nadarajah Asokan AAML 111 7 0 05 Jul 2022
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model Xudong Pan Yifan Yan Sheng Zhang Mi Zhang Min Yang 67 1 0 29 Jun 2022
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection Mantas Mazeika Yangqiu Song David A. Forsyth AAML 60 28 0 28 Jun 2022
ROSE: A RObust and SEcure DNN Watermarking Kassem Kallas Teddy Furon 37 7 0 22 Jun 2022
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps Hiroki Ito AprilPyone Maungmaung Sayaka Shiota Hitoshi Kiya 45 4 0 11 Jun 2022
Membership Inference via Backdooring Hongsheng Hu Z. Salcic Gillian Dobbie Jinjun Chen Lichao Sun Xuyun Zhang MIACV 72 31 0 10 Jun 2022
PCPT and ACPT: Copyright Protection and Traceability Scheme for DNN Models Xuefeng Fan Dahao Fu Hangyu Gui Xinpeng Zhang Xiaoyi Zhou 81 4 0 06 Jun 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 145 5 0 30 May 2022
Verifying Integrity of Deep Ensemble Models by Lossless Black-box Watermarking with Sensitive Samples Lina Lin Hanzhou Wu AAML 162 6 0 09 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 51 7 0 08 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms Yifan Yan Xudong Pan Yining Wang Mi Zhang Min Yang AAML 51 14 0 30 Apr 2022
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation Jun Xia Ting Wang Jiepin Ding Xian Wei Mingsong Chen AAML 60 34 0 21 Apr 2022
Planting Undetectable Backdoors in Machine Learning Models S. Goldwasser Michael P. Kim Vinod Vaikuntanathan Or Zamir AAML 62 73 0 14 Apr 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 74 11 0 13 Apr 2022
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks Fangqi Li Shilin Wang 33 1 0 09 Apr 2022
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting Qi Zhong L. Zhang Shengshan Hu Longxiang Gao Jun Zhang Yang Xiang WIGM AAML 79 5 0 05 Apr 2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning Arezoo Rajabi Bhaskar Ramasubramanian Radha Poovendran AAML 112 5 0 25 Mar 2022
PublicCheck: Public Integrity Verification for Services of Run-time Deep Models Shuo Wang Sharif Abuadbba Sidharth Agarwal Kristen Moore Ruoxi Sun Minhui Xue Surya Nepal S. Çamtepe S. Kanhere HILM 68 7 0 21 Mar 2022
HoneyModels: Machine Learning Honeypots Ahmed Abdou Ryan Sheatsley Yohan Beugin Tyler J. Shipp Patrick McDaniel AAML 53 3 0 21 Feb 2022
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias Shangxi Wu Qi He Yi Zhang Jitao Sang AAML 106 2 0 18 Feb 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 117 68 0 17 Feb 2022
Algorithmic audits of algorithms, and the law Erwan Le Merrer Ronan Pons Gilles Trédan MLAU FaML 77 12 0 15 Feb 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 76 26 0 15 Feb 2022
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding Giulio Pagnotta Dorjan Hitaj Briland Hitaj Fernando Perez-Cruz L. Mancini 78 5 0 12 Feb 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 92 55 0 27 Jan 2022
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications Hitoshi Kiya AprilPyone Maungmaung Yuma Kinoshita Shoko Imaizumi Sayaka Shiota 86 58 0 26 Jan 2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work Adam Dziedzic Muhammad Ahmad Kaleem Y. Lu Nicolas Papernot FedML MIACV AAML MLAU 130 29 0 23 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 79 12 0 21 Jan 2022
Watermarking Pre-trained Encoders in Contrastive Learning Yutong Wu Han Qiu Tianwei Zhang L. Jiwei M. Qiu 75 11 0 20 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 138 35 0 19 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 92 24 0 19 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 87 14 0 16 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 90 26 0 15 Jan 2022
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models Jialuo Chen Jingyi Wang Tinglan Peng Youcheng Sun Peng Cheng S. Ji Xingjun Ma Yue Liu Basel Alomair AAML 92 64 0 10 Dec 2021
Defending against Model Stealing via Verifying Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yong Jiang Shutao Xia Xiaochun Cao AAML 88 65 0 07 Dec 2021
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark Xuanli He Xingliang Yuan Lingjuan Lyu Fangzhao Wu Chenguang Wang WaLM 244 98 0 05 Dec 2021
Safe Distillation Box Jingwen Ye Yining Mao Mingli Song Xinchao Wang Cheng Jin Xiuming Zhang AAML 111 14 0 05 Dec 2021