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
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
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 íK, 2024
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
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
What do we learn from inverting CLIP models?
H Kazemi, A Chegini, J Geiping, S Feizi, T Goldstein
arXiv preprint arXiv:2403.02580, 2024
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
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
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation
A Chegini, S Feizi
arXiv preprint arXiv:2312.05464, 2023
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