Machine Learning Models that Remember Too Much

22 September 2017

Papers citing "Machine Learning Models that Remember Too Much"

50 / 217 papers shown

Title
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 59 42 0 18 Feb 2022
Privacy protection based on mask template Hao Wang Yunkun Bai Guangmin Sun Jie Liu PICV 11 0 0 13 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 27 5 0 12 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 19 22 0 07 Feb 2022
Training Differentially Private Models with Secure Multiparty Computation Sikha Pentyala Davis Railsback Ricardo Maia Rafael Dowsley David Melanson Anderson C. A. Nascimento Martine De Cock 18 14 0 05 Feb 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 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 44 12 0 16 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 42 21 0 12 Jan 2022
Gradient Leakage Attack Resilient Deep Learning Wenqi Wei Ling Liu SILM PILM AAML 27 46 0 25 Dec 2021
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning Ismat Jarin Birhanu Eshete AAML 14 10 0 24 Dec 2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Vasisht Duddu S. Szyller Nadarajah Asokan 32 12 0 04 Dec 2021
Enhanced Membership Inference Attacks against Machine Learning Models Jiayuan Ye Aadyaa Maddi S. K. Murakonda Vincent Bindschaedler Reza Shokri MIALM MIACV 27 233 0 18 Nov 2021
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities Esma Mansouri-Benssassi Simon Rogers Jim Q. Smith F. Ritchie E. Jefferson 25 5 0 10 Nov 2021
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Shubhankar Mohapatra Sajin Sasy Xi He Gautam Kamath Om Thakkar 114 32 0 09 Nov 2021
Can I use this publicly available dataset to build commercial AI software? -- A Case Study on Publicly Available Image Datasets Gopi Krishnan Rajbahadur Erika Tuck Li Zi Dayi Lin Boyuan Chen Zhen Ming Jiang Jiang Daniel M. German 14 8 0 03 Nov 2021
Self-supervised denoising for massive noisy images Feng Wang Trond R. Henninen D. Keller R. Erni 13 0 0 18 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 27 75 0 15 Oct 2021
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference Jiaxiang Liu Simon Oya Florian Kerschbaum MIACV 22 9 0 11 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 2021
Secure Machine Learning over Relational Data Qiyao Luo Yilei Wang Zhenghang Ren K. Yi Kai Chen Xiao Wang 32 4 0 30 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 27 79 0 13 Sep 2021
CAPE: Context-Aware Private Embeddings for Private Language Learning Richard Plant Dimitra Gkatzia V. Giuffrida 22 27 0 27 Aug 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 32 3 0 14 Aug 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 21 33 0 13 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 23 71 0 04 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 24 139 0 07 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 24 42 0 25 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 24 7 0 13 May 2021
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 48 10 0 09 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 27 49 0 05 May 2021
Stealthy Backdoors as Compression Artifacts Yulong Tian Fnu Suya Fengyuan Xu David Evans 35 22 0 30 Apr 2021
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication Xiquan Guan Huamin Feng Weiming Zhang Hang Zhou Jie Zhang Nenghai Yu AAML 11 59 0 09 Apr 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 33 42 0 29 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
Differentially Private Imaging via Latent Space Manipulation Tao Li Chris Clifton PICV DiffM 28 20 0 08 Mar 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 21 51 0 08 Feb 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 82 216 0 11 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 59 140 0 21 Dec 2020
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism Jiasi Weng Jian Weng Hongwei Huang Chengjun Cai Cong Wang FedML 17 28 0 19 Dec 2020
Machine Learning for Detecting Data Exfiltration: A Review Bushra Sabir Faheem Ullah M. Babar R. Gaire AAML 19 31 0 17 Dec 2020
Robustness Threats of Differential Privacy Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 24 14 0 14 Dec 2020
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations Mingfu Xue Yushu Zhang Jian Wang Weiqiang Liu 11 49 0 27 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 20 282 0 24 Nov 2020
Towards a Theory of Special-purpose Program Obfuscation M. R. Asghar S. Galbraith A. Lanzi Giovanni Russello Lukas Zobernig 6 0 0 05 Nov 2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data Maoqiang Wu Xinyue Zhang Jiahao Ding H. Nguyen Rong Yu Miao Pan Stephen T. C. Wong MIACV 20 18 0 31 Oct 2020
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes Jinyuan Jia Binghui Wang Neil Zhenqiang Gong AAML 35 5 0 26 Oct 2020
Feature Inference Attack on Model Predictions in Vertical Federated Learning Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi FedML AAML 11 218 0 20 Oct 2020