Multi-label models have been widely used in various applications including image
annotation and object detection. The fly in the ointment is its inherent vulnerability to …

All current backdoor attacks on deep learning (DL) models fall under the category of a
vertical class backdoor (VCB). In VCB attacks, any sample from a class activates the …

Object detection models are vulnerable to backdoor or trojan attacks, where an attacker can
inject malicious triggers into the model, leading to altered behavior during inference. As a …

This paper systematically analyzes the security risks associated with artificial intelligence
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …

Abstract We present a Multimodal Backdoor defense technique TIJO (Trigger Inversion
using Joint Optimization). Recently Walmer et al. demonstrated successful backdoor attacks …

Extensive literature on backdoor poison attacks has studied attacks and defenses for
backdoors using “digital trigger patterns.” In contrast,“physical backdoors” use physical …

Deep neural networks (DNNs) can be manipulated to exhibit specific behaviors when
exposed to specific trigger patterns, without affecting their performance on benign samples …

In light of their remarkable predictive capabilities, artificial intelligence (AI) models driven by
deep learning (DL) have witnessed widespread adoption in the agriculture sector …

Object detection is the foundation of various critical computer-vision tasks such as
segmentation, object tracking, and event detection. To train an object detector with …

All existing backdoor attacks to deep learning (DL) models belong to the vertical class
backdoor (VCB). That is, any sample from a class will activate the implanted backdoor in the …