14 citations · 18 across the 10 of their papers we have counts for
10 papers
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
Hongsheng Hu, Shuo Wang, Tian Dong +1
Machine unlearning has become a promising solution for fulfilling the "right to be forgotten", under which individuals can request the deletion of their data from machine learning…
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
Yuxin Cao, Jinghao Li, Xi Xiao +5
Previous work has shown that well-crafted adversarial perturbations can threaten the security of video recognition systems. Attackers can invade such models with a low query budget…
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns
Zewei Shi, Ruoxi Sun, Jieshan Chen +2
Deceptive patterns are design practices embedded in digital platforms to manipulate users, representing a widespread and long-standing issue in the web and mobile software developm…
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
Yuxin Cao, Yian Li, Yumeng Zhu +2
Anti-spoofing detection has become a necessity for face recognition systems due to the security threat posed by spoofing attacks. Despite great success in traditional attacks, most…
DeepTheft: Stealing DNN Model Architectures through Power Side Channel
Yansong Gao, Huming Qiu, Zhi Zhang +6
Deep Neural Network (DNN) models are often deployed in resource-sharing clouds as Machine Learning as a Service (MLaaS) to provide inference services.To steal model architectures t…
RAI4IoE: Responsible AI for Enabling the Internet of Energy
Minhui Xue, Surya Nepal, Ling Liu +5
This paper plans to develop an Equitable and Responsible AI framework with enabling techniques and algorithms for the Internet of Energy (IoE), in short, RAI4IoE. The energy sector…