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 | 25 | 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 | 10* | 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 | 9 | 2023 |
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 | 7 | 2024 |
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 | 5* | 2024 |
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 | 3 | 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 | 2 | 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 | 1 | 2024 |
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation A Chegini, S Feizi arXiv preprint arXiv:2312.05464, 2023 | 1 | 2023 |
Model Soup for Better RLHF: Weight Space Averaging to Improve Alignment in LLMs A Chegini, H Kazemi, SI Mirzadeh, D Yin, M Horton, M Nabi, M Farajtabar, ... NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles …, 2024 | | 2024 |