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Dive into the research topics where Daniel Cullina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Evaluating the Adversarial Robustness of CNNs Layer by Layer
Wang, Y. & Cullina, D., Feb 1 2026, In: Transactions on Machine Learning Research. 2026-FebruaryResearch output: Contribution to journal › Article › peer-review
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Characterizing the Optimal 0 − 1 Loss for Multi-class Classification with a Test-time Attacker
Dai, S., Ding, W., Bhagoji, A. N., Cullina, D., Zhao, B. Y., Zheng, H. & Mittal, P., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Link opens in a new tab Scopus citations -
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Bhagoji, A. N., Cullina, D., Sehwag, V. & Mittal, P., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 863-873 11 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Link opens in a new tab Scopus citations -
Achievability of nearly-exact alignment for correlated Gaussian databases
Dai, O. E., Cullina, D. & Kiyavash, N., Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1230-1235 6 p. 9174507. (IEEE International Symposium on Information Theory - Proceedings; vol. 2020-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access12 Link opens in a new tab Scopus citations -
Database alignment with Gaussian features
Dai, O. E., Cullina, D. & Kiyavash, N., 2020.Research output: Contribution to conference › Paper › peer-review
22 Link opens in a new tab Scopus citations