Feizi, Soheil

Integrative analysis of 111 reference human epigenomes

Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 6,368

Can AI-Generated Text be Reliably Detected?

Sadasivan, V. S., Kumar, A., Balasubramanian, S., Wang, W., & Feizi, S. (2023) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 810

Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay

Melnikov, A., Murugan, A., Zhang, X., Tesileanu, T., Wang, L., Rogov, P., Feizi, S., Gnirke, A., Callan, C. G., Kinney, J. B., et al. (2012) · Nature Biotechnology

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 711

Identifying and Mitigating the Security Risks of Generative AI

Barrett, C., Boyd, B., Bursztein, E., Carlini, N., Chen, B., Choi, J., Chowdhury, A. R., Christodorescu, M., Datta, A., Feizi, S., et al. (2023) · Foundations and Trends® in Privacy and Security

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 57

Improving Deep Learning Interpretability by Saliency Guided Training

Ismail, A. A., Bravo, H. C., & Feizi, S. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 38

Certifying LLM Safety against Adversarial Prompting

Kumar, A., Agarwal, C., Srinivas, S., Li, A. J., Feizi, S., & Lakkaraju, H. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 28

CUDA: Convolution-Based Unlearnable Datasets

Sadasivan, V. S., Soltanolkotabi, M., & Feizi, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 24

Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation

Wang, W., Levine, A., & Feizi, S. (2022) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 22

Certifying Model Accuracy under Distribution Shifts

Kumar, A., Levine, A., Goldstein, T., & Feizi, S. (2022) · arXiv

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 3

Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text

Cheng, Y., Sadasivan, V. S., Saberi, M., Saha, S., & Feizi, S. (2025) · Advances in Neural Information Processing Systems 38

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 3

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use

Cheng, Y., Fan, C., JafariRaviz, M., Rezaei, K., & Feizi, S. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0