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Atoosa Chegini
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Robustness of ai-image detectors: Fundamental limits and practical attacks
M Saberi, VS Sadasivan, K Rezaei, A Kumar, A Chegini, W Wang, S Feizi
arXiv preprint arXiv:2310.00076, 2023
502023
Fast adversarial attacks on language models in one gpu minute
VS Sadasivan, S Saha, G Sriramanan, P Kattakinda, A Chegini, S Feizi
arXiv preprint arXiv:2402.15570, 2024
252024
Run-off election: Improved provable defense against data poisoning attacks
K Rezaei, K Banihashem, A Chegini, S Feizi
International Conference on Machine Learning, 29030-29050, 2023
15*2023
Editval: Benchmarking diffusion based text-guided image editing methods
S Basu, M Saberi, S Bhardwaj, AM Chegini, D Massiceti, M Sanjabi, ...
arXiv preprint arXiv:2310.02426, 2023
122023
What do we learn from inverting CLIP models?
H Kazemi, A Chegini, J Geiping, S Feizi, T Goldstein
arXiv preprint arXiv:2403.02580, 2024
52024
Forecasting influenza hemagglutinin mutations through the lens of anomaly detection
A Garjani, AM Chegini, M Salehi, A Tabibzadeh, P Yousefi, ...
Scientific Reports 13 (1), 14944, 2023
52023
Rethinking artistic copyright infringements in the era of text-to-image generative models
M Moayeri, S Basu, S Balasubramanian, P Kattakinda, A Chengini, ...
arXiv preprint arXiv:2404.08030, 2024
42024
Data-Centric Debugging: mitigating model failures via targeted image retrieval
S Singla, AM Chegini, M Moayeri, S Feizi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
4*2024
Identifying and mitigating model failures through few-shot clip-aided diffusion generation
A Chegini, S Feizi
arXiv preprint arXiv:2312.05464, 2023
32023
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF
A Chegini, H Kazemi, I Mirzadeh, D Yin, M Horton, M Nabi, M Farajtabar, ...
arXiv preprint arXiv:2411.01798, 2024
2*2024
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