ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks
Authors: Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Long Lu, Somesh Jha | Published: 2020-11-11 | Updated: 2023-07-06
ウォーターマーキング
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Authors: Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo | Published: 2020-11-10 | Updated: 2021-03-18
Performance Analysis of Scientific Computing Workloads on Trusted Execution Environments
Authors: Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert | Published: 2020-10-25
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
Authors: Guneet S. Dhillon, Nicholas Carlini | Published: 2020-09-30
A Systematic Review on Model Watermarking for Neural Networks
Authors: Franziska Boenisch | Published: 2020-09-25 | Updated: 2021-12-08
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Authors: Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao | Published: 2020-09-21 | Updated: 2021-05-26
Feature Distillation With Guided Adversarial Contrastive Learning
Authors: Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex Kot | Published: 2020-09-21
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Authors: Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu | Published: 2020-09-18 | Updated: 2021-05-17
WAFFLE: Watermarking in Federated Learning
Authors: Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan | Published: 2020-08-17 | Updated: 2021-07-22
Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry
Authors: Zhen Yu Ding, Benjamin Khakshoor, Justin Paglierani, Mantej Rajpal | Published: 2020-08-13