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Hamid Kazemi
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Cold diffusion: Inverting arbitrary image transforms without noise
A Bansal, E Borgnia, HM Chu, J Li, H Kazemi, F Huang, M Goldblum, ...
Advances in Neural Information Processing Systems 36, 2024
1672024
What do vision transformers learn? a visual exploration
A Ghiasi, H Kazemi, E Borgnia, S Reich, M Shu, M Goldblum, AG Wilson, ...
arXiv preprint arXiv:2212.06727, 2022
422022
Canary in a coalmine: Better membership inference with ensembled adversarial queries
Y Wen, A Bansal, H Kazemi, E Borgnia, M Goldblum, J Geiping, ...
arXiv preprint arXiv:2210.10750, 2022
172022
Plug-in inversion: Model-agnostic inversion for vision with data augmentations
A Ghiasi, H Kazemi, S Reich, C Zhu, M Goldblum, T Goldstein
82021
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
A Hans, A Schwarzschild, V Cherepanova, H Kazemi, A Saha, ...
arXiv preprint arXiv:2401.12070, 2024
22024
What do we learn from inverting CLIP models?
H Kazemi, A Chegini, J Geiping, S Feizi, T Goldstein
arXiv preprint arXiv:2403.02580, 2024
12024
Feature Sonification: An investigation on the features learned for Automatic Speech Recognition 2021
A Ghiasi, H Kazemi, R Huang, E Liu, M Goldblum, T Goldstein
https://sonification.cs.umd.edu/, 0
1
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
H Souri, A Bansal, H Kazemi, L Fowl, A Saha, J Geiping, AG Wilson, ...
arXiv preprint arXiv:2403.16365, 2024
2024
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