Node-Level Differentially Private Graph Neural Networks
Authors: Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain | Published: 2021-11-23 | Updated: 2022-08-26
Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
Authors: Carlos A. Rivera Alvarez, Arash Shaghaghi, David D. Nguyen, Salil S. Kanhere | Published: 2021-11-23
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries
Authors: Prithviraj Dasgupta, Zachariah Osman | Published: 2021-11-22
NTD: Non-Transferability Enabled Backdoor Detection
Authors: Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott | Published: 2021-11-22
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