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07/31/2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey
Diffusion models and large language models have emerged as leading-edge ...
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07/16/2023
On the Robustness of Split Learning against Adversarial Attacks
Split learning enables collaborative deep learning model training while ...
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04/12/2023
Gradient-Free Textual Inversion
Recent works on personalized text-to-image generation usually learn to b...
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12/05/2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Federated Learning (FL) is pervasive in privacy-focused IoT environments...
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11/30/2022
Uncertainty-Aware Image Captioning
It is well believed that the higher uncertainty in a word of the caption...
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10/05/2022
Progressive Denoising Model for Fine-Grained Text-to-Image Generation
Recently, vector quantized autoregressive (VQ-AR) models have shown rema...
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08/13/2022
MaskBlock: Transferable Adversarial Examples with Bayes Approach
The transferability of adversarial examples (AEs) across diverse models ...
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02/28/2022
Enhance transferability of adversarial examples with model architecture
Transferability of adversarial examples is of critical importance to lau...
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04/27/2021
