Maniatis, Petros

Prochlo: Strong Privacy for Analytics in the Crowd

Bittau, A., Erlingsson, Ú., Maniatis, P., Mironov, I., Raghunathan, A., Lie, D., Rudominer, M., Kode, U., Tinnes, J., & Seefeld, B. (2017) · Proceedings of the 26th Symposium on Operating Systems Principles

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 378

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Resolving Code Review Comments with Machine Learning

Froemmgen, A., Austin, J., Choy, P., Ghelani, N., Kharatyan, L., Surita, G., Khrapko, E., Lamblin, P., Manzagol, P.-A., Revaj, M., et al. (2024) · Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 21