Sanghyun-Hong

DeepRecon

[arXiv'18] Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

DeepSloth

[ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference"

DeepStamp

[NDSS'19] Code for the Poster: "On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset"

Gradient-Shaping

[Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

How-to-0wn-NAS-in-Your-Spare-Time

[ICLR'20] How to 0wn NAS in Your Spare Time

Mastik

GitHub (mirror) repository for the Mastik toolkit, written by Yuval Yarom https://cs.adelaide.edu.au/~yval/Mastik/

Shallow-Deep-Networks

Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"

Sanghyun-Hong/DeepRecon

[arXiv'18] Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

Sanghyun-Hong/DeepSloth

[ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference"

Sanghyun-Hong/Gradient-Shaping

[Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

Sanghyun-Hong/DeepStamp

[NDSS'19] Code for the Poster: "On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset"

Sanghyun-Hong/How-to-0wn-NAS-in-Your-Spare-Time

[ICLR'20] How to 0wn NAS in Your Spare Time

Sanghyun-Hong/NLPProjects

The repository for the projects in the class Computational Linguistics 1 (NLP)

Sanghyun-Hong/ATMC

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Sanghyun-Hong/automatic-watermark-detection

Implementation of the Watermark Removal Method Presented in CVPR 2017

Sanghyun-Hong/CancerModeling

The repository for the projects in the Network Analysis and Modeling of Biological Systems (CMSC703)

Sanghyun-Hong/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Sanghyun-Hong/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Sanghyun-Hong/libfixedtimefixedpoint

A library for doing constant-time fixed-point numeric operations

Sanghyun-Hong/lime

Lime: Explaining the predictions of any machine learning classifier

Sanghyun-Hong/portsmash

Sanghyun-Hong/pyfac

Python implementation of Sum-Product for Factor Graphs

Sanghyun-Hong/PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Sanghyun-Hong/pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

Sanghyun-Hong/Scorpion-IPA

This project aims to create source code for a imaging payload of a nanosatellite based on FreeRTOS.

Sanghyun-Hong/security-bulletins

Security Bulletins that relate to Netflix Open Source

Sanghyun-Hong/Shallow-Deep-Networks

Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"

Sanghyun-Hong/sumproduct

Sum product algorithm - Belief propagation (message passing) for factor graphs

Sanghyun-Hong/vgg-face.pytorch

VGG-Face Descriptor port to pytorch

Sanghyun-Hong/VirusTotal-Tools

Sanghyun-Hong/vision

Datasets, Transforms and Models specific to Computer Vision

Sanghyun-Hong/vits-for-small-scale-datasets

[BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"

Sanghyun-Hong/WatermarkNN

Watermarking Deep Neural Networks (USENIX 2018)

Sanghyun-Hong/xenadmin

XenCenter, the Windows management console for XenServer

Sanghyun-Hong/xentrace-analysis

Tools for analyzing performance of Xen hypervisor and it's guest domains.