research
∙
12/22/2021
Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection
We demonstrate that a supply-chain level compromise of the adaptive crui...
share
research
∙
06/10/2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
Boundary based blackbox attack has been recognized as practical and effe...
research
∙
02/25/2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
Gradient estimation and vector space projection have been studied as two...
research
∙
01/17/2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
Modern self-driving perception systems have been shown to improve upon p...
research
∙
05/28/2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Machine learning (ML), especially deep neural networks (DNNs) have been ...
research
∙
10/08/2019
Detecting AI Trojans Using Meta Neural Analysis
Machine learning models, especially neural networks (NNs), have achieved...
research
∙
10/30/2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Unsupervised node embedding methods (e.g., DeepWalk, LINE, and node2vec)...
research
∙
04/07/2018