Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
Authors: James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen | Published: 2022-10-25
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Authors: Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim | Published: 2022-10-25 | Updated: 2023-07-18
A White-Box Adversarial Attack Against a Digital Twin
Authors: Wilson Patterson, Ivan Fernandez, Subash Neupane, Milan Parmar, Sudip Mittal, Shahram Rahimi | Published: 2022-10-25
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Authors: Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi | Published: 2022-10-24 | Updated: 2023-08-10
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Authors: Ying Yuan, Giovanni Apruzzese, Mauro Conti | Published: 2022-10-24 | Updated: 2023-10-12
On the Robustness of Dataset Inference
Authors: Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan | Published: 2022-10-24 | Updated: 2023-06-19
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
Authors: Subrato Bharati, Prajoy Podder | Published: 2022-10-24
Perfectly Secure Steganography Using Minimum Entropy Coupling
Authors: Christian Schroeder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Foerster, Martin Strohmeier | Published: 2022-10-24 | Updated: 2023-10-30
Ares: A System-Oriented Wargame Framework for Adversarial ML
Authors: Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati | Published: 2022-10-24
Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach
Authors: Tahmid Hasan Pranto, Kazi Tamzid Akhter Md Hasib, Tahsinur Rahman, AKM Bahalul Haque, A. K. M. Najmul Islam, Rashedur M. Rahman | Published: 2022-10-23