Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Authors: Cangxiong Chen, Neill D. F. Campbell | Published: 2021-11-19
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Fooling Adversarial Training with Inducing Noise
Authors: Zhirui Wang, Yifei Wang, Yisen Wang | Published: 2021-11-19
A Review of Adversarial Attack and Defense for Classification Methods
Authors: Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2021-11-18
Enhanced Membership Inference Attacks against Machine Learning Models
Authors: Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri | Published: 2021-11-18 | Updated: 2022-09-13
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning
Authors: Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le | Published: 2021-11-18
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript
Authors: Saikat Dutta, Diego Garbervetsky, Shuvendu Lahiri, Max Schäfer | Published: 2021-11-18
Facial Information Analysis Technology for Gender and Age Estimation
Authors: Gilheum Park, Sua Jung | Published: 2021-11-17
Fast Yet Effective Machine Unlearning
Authors: Ayush K Tarun, Vikram S Chundawat, Murari Mandal, Mohan Kankanhalli | Published: 2021-11-17 | Updated: 2023-05-31
On the Importance of Difficulty Calibration in Membership Inference Attacks
Authors: Lauren Watson, Chuan Guo, Graham Cormode, Alex Sablayrolles | Published: 2021-11-15 | Updated: 2022-04-11
Property Inference Attacks Against GANs
Authors: Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang | Published: 2021-11-15