Hanxun Huang

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@HanxunH

SCELoss-Reproduce. Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

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Unlearnable-Examples. [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

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Active-Passive-Losses. [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

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XTransferBench. [ICML 2025] X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP

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CognitiveDistillation. [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image

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RobustWRN. [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

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Detect-CLIP-Backdoor-Samples. [ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining

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AudioMosaic. [ICML2026] AudioMosaic: Contrastive Masked Audio Representation Learning

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MDAttack. [Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness

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COMP90024-2019S1-Team7-TrackerHub. Jupyter Notebook

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LDReg. [ICLR2024] LDReg: Local Dimensionality Regularized Self-Supervised Learning

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COMP90051-2019S2-Project1. Python

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HanxunH.

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CS390Python. Python

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CSCapstone. CS Capstone Marketplace

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