Boneh, Dan

18 publications

ICLR 2026 Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing Justin W Lin, Eliot Krzysztof Jones, Donovan Julian Jasper, Ethan Jun-shen Ho, Anna Wu, Arnold Tianyi Yang, Neil Perry, Andy Zou, Matt Fredrikson, J Zico Kolter, Percy Liang, Dan Boneh, Daniel E. Ho

NeurIPS 2025 BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems Andy K Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Yifeng Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Khiem Tran, Nishka Kacheria, Ethan Jun-shen Ho, Denis Liu, Lauren McLane, Olivia Beyer Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Z Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel E. Ho, Percy Liang

ICLR 2025 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models Andy K Zhang, Neil Perry, Riya Dulepet, Joey Ji, Celeste Menders, Justin W Lin, Eliot Jones, Gashon Hussein, Samantha Liu, Donovan Julian Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Haoxiang Yang, Aolin Zhang, Rishi Alluri, Nathan Tran, Rinnara Sangpisit, Kenny O Oseleononmen, Dan Boneh, Daniel E. Ho, Percy Liang

ICML 2025 ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav, Evan Laufer, Dan Boneh, Kamalika Chaudhuri

ICLRW 2025 ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav, Evan Laufer, Dan Boneh, Kamalika Chaudhuri

ICML 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri

ICLRW 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri

NeurIPSW 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri

NeurIPS 2024 Optimistic Verifiable Training by Controlling Hardware Nondeterminism Megha Srivastava, Simran Arora, Dan Boneh

ICMLW 2024 Optimistic Verifiable Training by Controlling Hardware Nondeterminism Megha Srivastava, Simran Arora, Dan Boneh

ICMLW 2023 Do Users Write More Insecure Code with AI Assistants? Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh

ICLR 2021 Differentially Private Learning Needs Better Features (or Much More Data) Florian Tramer, Dan Boneh

NeurIPS 2019 Adversarial Training and Robustness for Multiple Perturbations Florian Tramer, Dan Boneh

ICLR 2019 Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramer, Dan Boneh

ICLR 2018 Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel

COLT 1995 Learning Using Group Representations (Extended Abstract) Dan Boneh

COLT 1995 On Genetic Algorithms Eric B. Baum, Dan Boneh, Charles Garrett

COLT 1993 Amplification of Weak Learning Under the Uniform Distribution Dan Boneh, Richard J. Lipton