In the past few years, significant progress has been made on deep neural networks (DNNs)
in achieving human-level performance on several long-standing tasks. With the broader …

This work provides the community with a timely comprehensive review of backdoor attacks
and countermeasures on deep learning. According to the attacker's capability and affected …

Because" out-of-the-box" large language models are capable of generating a great deal of
objectionable content, recent work has focused on aligning these models in an attempt to …

Recently, NLP has seen a surge in the usage of large pre-trained models. Users download
weights of models pre-trained on large datasets, then fine-tune the weights on a task of their …

Recent advances in video manipulation techniques have made the generation of fake
videos more accessible than ever before. Manipulated videos can fuel disinformation and …

Existing efforts in audio adversarial attacks only focus on the scenarios where an adversary
has prior knowledge of the entire speech input so as to generate an adversarial example by …

The intriguing phenomenon of adversarial examples has attracted significant attention in
machine learning and what might be more surprising to the community is the existence of …

Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

Facially manipulated images and videos or DeepFakes can be used maliciously to fuel
misinformation or defame individuals. Therefore, detecting DeepFakes is crucial to increase …

Universal adversarial perturbation (UAP), ie a single perturbation to fool the network for most
images, is widely recognized as a more practical attack because the UAP can be generated …