FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries
Authors: Seng Pei Liew, Tsubasa Takahashi | Published: 2020-10-27
メンバーシップ推論
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes
Authors: Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong | Published: 2020-10-26
Image Obfuscation for Privacy-Preserving Machine Learning
Authors: Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert | Published: 2020-10-20
Higher-Order Certification for Randomized Smoothing
Authors: Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel | Published: 2020-10-13
TextHide: Tackling Data Privacy in Language Understanding Tasks
Authors: Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora | Published: 2020-10-12
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Authors: Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici | Published: 2020-10-07 | Updated: 2021-09-02
A Systematic Review on Model Watermarking for Neural Networks
Authors: Franziska Boenisch | Published: 2020-09-25 | Updated: 2021-12-08
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
On Primes, Log-Loss Scores and (No) Privacy
Authors: Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier | Published: 2020-09-17
An Extension of Fano’s Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Authors: Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami | Published: 2020-09-17