Pinned Repositories
ACS
[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.
AdvFlow
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
AVATAR
[SatML 2024] The official repository of "The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models"
COLLIDER
[ACCV 2022] The official repository of ''COLLIDER: A Robust Training Framework for Backdoor Data''.
cords
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
denoising_diffusion
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
hmdolatabadi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LRS_NF
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
langchain
🦜🔗 Build context-aware reasoning applications
hmdolatabadi's Repositories
hmdolatabadi/denoising_diffusion
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
hmdolatabadi/AdvFlow
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
hmdolatabadi/LRS_NF
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
hmdolatabadi/ACS
[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.
hmdolatabadi/AVATAR
[SatML 2024] The official repository of "The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models"
hmdolatabadi/COLLIDER
[ACCV 2022] The official repository of ''COLLIDER: A Robust Training Framework for Backdoor Data''.
hmdolatabadi/cords
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
hmdolatabadi/hmdolatabadi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
hmdolatabadi/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation