2 citations · 4 across the 5 of their papers we have counts for
6 papers
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
Yang Sui, Huy Phan, Jinqi Xiao +6
In the exciting generative AI era, the diffusion model has emerged as a very powerful and widely adopted content generation and editing tool for various data modalities, making the…
Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the huma…
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
Qiufan Ji, Lin Wang, Cong Shi +3
Deep Neural Networks (DNNs) for 3D point cloud recognition are vulnerable to adversarial examples, threatening their practical deployment. Despite the many research endeavors have…
Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction
Yaohui Guo, X. Jessie Yang, Cong Shi
Trust-aware human-robot interaction (HRI) has received increasing research attention, as trust has been shown to be a crucial factor for effective HRI. Research in trust-aware HRI…
BarrierBypass: Out-of-Sight Clean Voice Command Injection Attacks through Physical Barriers
Payton Walker, Tianfang Zhang, Cong Shi +2
The growing adoption of voice-enabled devices (e.g., smart speakers), particularly in smart home environments, has introduced many security vulnerabilities that pose significant th…
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan, Cong Shi, Yi Xie +7
Recently backdoor attack has become an emerging threat to the security of deep neural network (DNN) models. To date, most of the existing studies focus on backdoor attack against t…