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Yaoliang Yu

University of Alberta

Unlocking The Potential of Adaptive Attacks on Diffusion-Based Purification

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Nov 25, 2024
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One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently

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Oct 31, 2024
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A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD

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Oct 06, 2024
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Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning

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Jun 05, 2024
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Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing

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Jun 05, 2024
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Disguised Copyright Infringement of Latent Diffusion Models

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Apr 11, 2024
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Convergence to Nash Equilibrium and No-regret Guarantee in Potential Games

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Apr 04, 2024
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Structure Preserving Diffusion Models

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Feb 29, 2024
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Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers

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Feb 27, 2024
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Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors

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Feb 20, 2024
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