1k citations · 10.8k across the 111 of their papers we have counts for
5 papers · 2 filters
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Jialuo Chen, Jingyi Wang, Tinglan Peng +6
Deep learning (DL) models, especially those large-scale and high-performance ones, can be very costly to train, demanding a great amount of data and computational resources. Unauth…
FED-: Privacy Preserving Federated Correlation Test
Lun Wang, Qi Pang, Shuai Wang +1
In this paper, we propose the first secure federated -test protocol Fed-. To minimize both the privacy leakage and the communication cost, we recast -test to the sec…
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu +3
Recent research has confirmed the feasibility of backdoor attacks in deep reinforcement learning (RL) systems. However, the existing attacks require the ability to arbitrarily modi…
A System for Automated Open-Source Threat Intelligence Gathering and Management
Peng Gao, Xiaoyuan Liu, Edward Choi +4
To remain aware of the fast-evolving cyber threat landscape, open-source Cyber Threat Intelligence (OSCTI) has received growing attention from the community. Commonly, knowledge ab…
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence
Peng Gao, Fei Shao, Xiaoyuan Liu +7
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks. However, existing approaches require non-trivial efforts of manual query…