Bursztein, Elie

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 306

"They Don't Leave Us Alone Anywhere We Go": Gender and Digital Abuse in South Asia

Sambasivan, N., Batool, A., Ahmed, N., Matthews, T., Thomas, K., Gaytán-Lugo, L. S., Nemer, D., Bursztein, E., Churchill, E., & Consolvo, S. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Stalking, Cyberstalking, and HarassmentGender, Feminism, and Media

Cited by 175

Users Really Do Plug in USB Drives They Find

Tischer, M., Durumeric, Z., Foster, S., Duan, S., Mori, A., Bursztein, E., & Bailey, M. (2016) · 2016 IEEE Symposium on Security and Privacy (SP)

Information and Cyber SecurityUser Authentication and Security Systems

Cited by 98

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

Designing Toxic Content Classification for a Diversity of Perspectives

Kumar, D., Kelley, P. G., Consolvo, S., Mason, J., Bursztein, E., Durumeric, Z., Thomas, K., & Bailey, M. (2021) · arXiv

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 28

ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?

Wang, Z., Schiller, N., Li, H., Narayana, S. S., Nasr, M., Carlini, N., Qi, X., Wallace, E., Bursztein, E., Invernizzi, L., et al. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 3