Atoosa Malemir Chegini

According to our database, Atoosa Malemir Chegini authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models.

Hamid Kazemi, Atoosa Malemir Chegini, Maria Safi

CoRR, May, 2026

Reasoning's Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection.

Atoosa Malemir Chegini, Hamid Kazemi, Garrett Souza, Maria Safi, Yang Song, Samy Bengio, Sinead Williamson, Mehrdad Farajtabar

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Reasoning's Razor: Reasoning Improves Accuracy but Can Hurt Recall at Critical Operating Points in Safety and Hallucination Detection.

Atoosa Malemir Chegini, Hamid Kazemi, Garrett Souza, Maria Safi, Yang Song, Samy Bengio, Sinead Williamson, Mehrdad Farajtabar

CoRR, October, 2025

Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models.

Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RePanda: Pandas-powered Tabular Verification and Reasoning.

Atoosa Malemir Chegini, Keivan Rezaei, Hamid Eghbalzadeh, Soheil Feizi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF.

Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh

CoRR, 2024

What do we learn from inverting CLIP models?

Hamid Kazemi, Atoosa Malemir Chegini, Jonas Geiping, Soheil Feizi, Tom Goldstein

CoRR, 2024

Data-Centric Debugging: mitigating model failures via targeted image retrieval.

Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Fast Adversarial Attacks on Language Models In One GPU Minute.

Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation.

Atoosa Malemir Chegini, Soheil Feizi

CoRR, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.

Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Run-off Election: Improved Provable Defense against Data Poisoning Attacks.

Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2023

2022

Data-Centric Debugging: mitigating model failures via targeted data collection.

Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi

CoRR, 2022

InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection.

Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban

CoRR, 2022