Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Authors: Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve | Published: 2021-11-22
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
Authors: Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai | Published: 2021-11-21 | Updated: 2022-09-07
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Authors: Cangxiong Chen, Neill D. F. Campbell | Published: 2021-11-19
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