Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
Authors: Shanshan Wu, Zheng Xu, Yanxiang Zhang, Yuanbo Zhang, Daniel Ramage | Published: 2024-04-05 | Updated: 2024-08-07
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism
Authors: Trilokesh Ranjan Sarkar, Nilanjan Das, Pralay Sankar Maitra, Bijoy Some, Ritwik Saha, Orijita Adhikary, Bishal Bose, Jaydip Sen | Published: 2024-04-05
Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection
Authors: João Vitorino, Miguel Silva, Eva Maia, Isabel Praça | Published: 2024-04-05
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
Authors: K Naveen Kumar, C Krishna Mohan, Aravind Machiry | Published: 2024-04-05
AuditGPT: Auditing Smart Contracts with ChatGPT
Authors: Shihao Xia, Shuai Shao, Mengting He, Tingting Yu, Linhai Song, Yiying Zhang | Published: 2024-04-05
An Investigation into Misuse of Java Security APIs by Large Language Models
Authors: Zahra Mousavi, Chadni Islam, Kristen Moore, Alsharif Abuadbba, Muhammad Ali Babar | Published: 2024-04-04
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
Authors: Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue | Published: 2024-04-04
Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption
Authors: Jianming Tong, Jingtian Dang, Anupam Golder, Callie Hao, Arijit Raychowdhury, Tushar Krishna | Published: 2024-04-04 | Updated: 2024-05-07
Goldfish: An Efficient Federated Unlearning Framework
Authors: Houzhe Wang, Xiaojie Zhu, Chi Chen, Paulo Esteves-Veríssimo | Published: 2024-04-04 | Updated: 2024-04-23
“Are Adversarial Phishing Webpages a Threat in Reality?” Understanding the Users’ Perception of Adversarial Webpages
Authors: Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang | Published: 2024-04-03