Advances in Differential Privacy and Differentially Private Machine Learning
Authors: Saswat Das, Subhankar Mishra | Published: 2024-04-06
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
Authors: Francesco Marchiori, Mauro Conti | Published: 2024-04-06
Optimization of Lightweight Malware Detection Models For AIoT Devices
Authors: Felicia Lo, Shin-Ming Cheng, Rafael Kaliski | Published: 2024-04-06
Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes
Authors: Divyanshu Kumar, Anurakt Kumar, Sahil Agarwal, Prashanth Harshangi | Published: 2024-04-05 | Updated: 2024-09-09
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