Transformer models used for text-based question answering systems
K Nassiri, M Akhloufi - Applied Intelligence, 2023 - Springer
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 …
processing (NLP) because of the wide variety of applications. It consists of answering …
Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning
While existing backdoor attacks have successfully infected multimodal contrastive learning
models such as CLIP they can be easily countered by specialized backdoor defenses for …
models such as CLIP they can be easily countered by specialized backdoor defenses for …
[PDF][PDF] Zero-day backdoor attack against text-to-image diffusion models via personalization
Although recent personalization methods have democratized high-resolution image
synthesis by enabling swift concept acquisition with minimal examples and lightweight …
synthesis by enabling swift concept acquisition with minimal examples and lightweight …
Nearest is not dearest: Towards practical defense against quantization-conditioned backdoor attacks
B Li, Y Cai, H Li, F Xue, Z Li… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract Model quantization is widely used to compress and accelerate deep neural
networks. However recent studies have revealed the feasibility of weaponizing model …
networks. However recent studies have revealed the feasibility of weaponizing model …
[PDF][PDF] Backdooring multimodal learning
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 …
set to alter the model prediction over samples with a specific trigger. While existing efforts …
Tijo: Trigger inversion with joint optimization for defending multimodal backdoored models
Abstract We present a Multimodal Backdoor defense technique TIJO (Trigger Inversion
using Joint Optimization). Recently Walmer et al. demonstrated successful backdoor attacks …
using Joint Optimization). Recently Walmer et al. demonstrated successful backdoor attacks …
Test-time backdoor attacks on multimodal large language models
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 …
can activate predetermined harmful effects during the test phase. In this work, we present …
Defenses in adversarial machine learning: A survey
Adversarial phenomenon has been widely observed in machine learning (ML) systems,
especially in those using deep neural networks, describing that ML systems may produce …
especially in those using deep neural networks, describing that ML systems may produce …
Composite backdoor attacks against large language models
Large language models (LLMs) have demonstrated superior performance compared to
previous methods on various tasks, and often serve as the foundation models for many …
previous methods on various tasks, and often serve as the foundation models for many …
Logical implications for visual question answering consistency
S Tascon-Morales, P Márquez-Neila… - Proceedings of the …, 2023 - openaccess.thecvf.com
Despite considerable recent progress in Visual Question Answering (VQA) models,
inconsistent or contradictory answers continue to cast doubt on their true reasoning …
inconsistent or contradictory answers continue to cast doubt on their true reasoning …