1 citations · 2 across the 4 of their papers we have counts for
4 papers
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach
Jiwei Guan, Tianyu Ding, Longbing Cao +3
Vision-language pretraining (VLP) with transformers has demonstrated exceptional performance across numerous multimodal tasks. However, the adversarial robustness of these models h…
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
Jiwei Guan, Lei Pan, Chen Wang +3
There are increasing concerns about malicious attacks on autonomous vehicles. In particular, inaudible voice command attacks pose a significant threat as voice commands become avai…
CUEING: a lightweight model to Capture hUman attEntion In driviNG
Linfeng Liang, Yao Deng, Yang Zhang +4
Discrepancies in decision-making between Autonomous Driving Systems (ADS) and human drivers underscore the need for intuitive human gaze predictors to bridge this gap, thereby impr…
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles
Jiwei Guan, Xi Zheng, Chen Wang +2
With recent advances in autonomous driving, Voice Control Systems have become increasingly adopted as human-vehicle interaction methods. This technology enables drivers to use voic…