Hanxun Huang

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

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

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

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

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

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

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

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

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

COMP90024-2019S1-Team7-TrackerHub. Jupyter Notebook

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

COMP90051-2019S2-Project1. Python

HanxunH.

CS390Python. Python

CSCapstone. CS Capstone Marketplace