MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

1 August 2018

Michael Backes

Mario Fritz

OffRL

ArXiv PDF HTML

Papers citing "MLCapsule: Guarded Offline Deployment of Machine Learning as a Service"

41 / 41 papers shown

Title
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks Yu Zhou Dian Zheng Qijie Mo Renjie Lu Kun-Yu Lin Wei-Shi Zheng MU 70 1 0 31 Mar 2025
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 39 2 0 15 Nov 2024
Data Poisoning and Leakage Analysis in Federated Learning Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret Loper Ling Liu FedML SILM 33 0 0 19 Sep 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks Peizhi Niu Chao Pan Siheng Chen Olgica Milenkovic AAML 35 0 0 12 Jun 2024
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training Rongwu Xu Zhixuan Fang FedML 28 0 0 21 Jan 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 38 2 0 05 Dec 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 37 16 0 11 Oct 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 37 6 0 13 Sep 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 14 1 0 08 Aug 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
Watermarking Text Data on Large Language Models for Dataset Copyright Yixin Liu Hongsheng Hu Xun Chen Xuyun Zhang Lichao Sun WaLM 21 22 0 22 May 2023
Boundary Unlearning Min Chen Weizhuo Gao Gaoyang Liu Kai Peng Chen Wang MU 109 71 0 21 Mar 2023
A Survey of Secure Computation Using Trusted Execution Environments Xiaoguo Li Bowen Zhao Guomin Yang Tao Xiang J. Weng R. Deng 29 9 0 23 Feb 2023
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 37 12 0 20 Oct 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 40 8 0 22 Aug 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 37 16 0 21 Mar 2022
Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools Soha Mohamed M. S. Fayed 26 1 0 19 Dec 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
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Yue Niu Ramy E. Ali Salman Avestimehr FedML 56 17 0 04 Oct 2021
Data science and Machine learning in the Clouds: A Perspective for the Future H. Barua 16 5 0 02 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 33 31 0 01 Sep 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
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
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks Zhichuang Sun Ruimin Sun Changming Liu A. Chowdhury Long Lu S. Jha FedML 29 18 0 11 Nov 2020
Offline Model Guard: Secure and Private ML on Mobile Devices Sebastian P. Bayerl Tommaso Frassetto Patrick Jauernig Korbinian Riedhammer A. Sadeghi T. Schneider Emmanuel Stapf Christian Weinert OffRL 18 45 0 05 Jul 2020
BoMaNet: Boolean Masking of an Entire Neural Network Anuj Dubey Rosario Cammarota Aydin Aysu AAML 25 44 0 16 Jun 2020
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks H. Hashemi Yongqin Wang M. Annavaram FedML 11 26 0 01 Jun 2020
Parallelizing Machine Learning as a Service for the End-User Daniela Loreti Marco Lippi Paolo Torroni FedML 14 9 0 28 May 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 30 83 0 18 May 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 18 175 0 12 Apr 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 18 155 0 30 Mar 2020
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram A. Jalali Ahmed T. Elthakeb Dean Tullsen H. Esmaeilzadeh 14 12 0 26 Mar 2020
Survey of Attacks and Defenses on Edge-Deployed Neural Networks Mihailo Isakov V. Gadepally K. Gettings Michel A. Kinsy AAML 22 31 0 27 Nov 2019
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 19 11 0 17 Jul 2019
Shredder: Learning Noise Distributions to Protect Inference Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram Prakash Ramrakhyani Dean Tullsen H. Esmaeilzadeh 11 11 0 26 May 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
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 33 177 0 08 Nov 2018
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems Denise Ratasich Faiq Khalid Florian Geissler Radu Grosu Muhammad Shafique E. Bartocci 27 102 0 16 Oct 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 41 928 0 04 Jun 2018
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 183 932 0 21 Oct 2016