Conference

Efficient and Effective Model Extraction
Model extraction aims to steal a functionally similar copy from a machine learning as a service (MLaaS) API with minimal overhead, …
Efficient and Effective Model Extraction
Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning
This paper introduces a novel approach to Visual Forced Alignment (VFA), aiming to accurately synchronize utterances with corresponding …
Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning
Membership Encoding for Black-Box Neural Network Watermarking
Deep neural network watermarking is an emerging technique for protecting the copyright of models. Most existing black-box watermarking …
Membership Encoding for Black-Box Neural Network Watermarking
MIFAE-Forensics: Masked lmage-Frequency AutoEncoder for DeepFake Detection
With continuously evolving generative models and increasingly diverse face forgery products, there is a growing demand for DeepFake …
MIFAE-Forensics: Masked lmage-Frequency AutoEncoder for DeepFake Detection
Rethinking the Fragility and Robustness of Fingerprints of Deep Neural Networks
Fingerprints characterize deep neural networks that are deployed as black-boxes. To achieve copyright tracing and integrity …
Rethinking the Fragility and Robustness of Fingerprints of Deep Neural Networks
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
Despite the notable success of language models (LMs) in various natural language processing (NLP) tasks, the reliability of LMs is …
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Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
Personatalk: Preserving Personalized Dynamic Speech Style in Talking Face Generation
Recent visual speaker authentication methods claimed their effectiveness against deepfake attacks. However, the success is attributed …
Personatalk: Preserving Personalized Dynamic Speech Style in Talking Face Generation
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
Previous work has showcased the intriguing capability of large language models (LLMs) in retrieving facts and processing context …
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How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
Backdoor NLP Models via AI-Generated Text
Backdoor attacks pose a critical security threat to natural language processing (NLP) models by establishing covert associations …
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Backdoor NLP Models via AI-Generated Text
Multi-Grained Multimodal Interaction Network for Sentiment Analysis
Multimodal sentiment analysis aims to utilize different modalities including language, visual, and audio to identify human emotions in …
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Multi-Grained Multimodal Interaction Network for Sentiment Analysis