The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …

While existing backdoor attacks have successfully infected multimodal contrastive learning
models such as CLIP they can be easily countered by specialized backdoor defenses for …

Although recent personalization methods have democratized high-resolution image
synthesis by enabling swift concept acquisition with minimal examples and lightweight …

Abstract Model quantization is widely used to compress and accelerate deep neural
networks. However recent studies have revealed the feasibility of weaponizing model …

Deep Neural Networks (DNNs) are vulnerable to backdoor attacks, which poison the training
set to alter the model prediction over samples with a specific trigger. While existing efforts …

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

Backdoor attacks are commonly executed by contaminating training data, such that a trigger
can activate predetermined harmful effects during the test phase. In this work, we present …

Adversarial phenomenon has been widely observed in machine learning (ML) systems,
especially in those using deep neural networks, describing that ML systems may produce …

Large language models (LLMs) have demonstrated superior performance compared to
previous methods on various tasks, and often serve as the foundation models for many …

Despite considerable recent progress in Visual Question Answering (VQA) models,
inconsistent or contradictory answers continue to cast doubt on their true reasoning …