Journal Articles
- Osman Emre Dai, Daniel Cullina, Negar Kiyavash and Matthias Grossglauser, 2019, "Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdos-Rényi Graphs", ACM SIGMETRICS Performance Evaluation Review, 47, (1), pp. 96-97
- Daniel Cullina, Negar Kiyavash, Prateek Mittal and H. Vincent Poor, 2019, "Partial Recovery of Erdðs-Rényi Graph Alignment via k-Core Alignment", Proceedings of the ACM on Measurement and Analysis of Computing Systems, 3, (3), pp. 1-21
- Alessandra Melani, Renato Mancuso, Daniel Cullina, Marco Caccamo and Lothar Thiele, 2017, "Optimizing resource speed for two-stage real-time tasks", Real-Time Systems, 53, (1), pp. 82-120
- Daniel Cullina, Negar Kiyavash and Ankur A. Kulkarni, 2016, "Restricted Composition Deletion Correcting Codes", IEEE Transactions on Information Theory, 62, (9), pp. 4819-4832
- Daniel Cullina and Negar Kiyavash, 2016, "Generalized Sphere-Packing Bounds on the Size of Codes for Combinatorial Channels", IEEE Transactions on Information Theory, 62, (8), pp. 4454-4465
- Daniel Cullina and Negar Kiyavash, 2016, "Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching", ACM SIGMETRICS Performance Evaluation Review, 44, (1), pp. 63-72
- Daniel Cullina and Negar Kiyavash, 2014, "An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes", IEEE Transactions on Information Theory, 60, (7), pp. 3862-3870
Conference Proceedings
- Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag and Prateek Mittal, 2021, "Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries", pp. 863--873
- Daniel Cullina, Negar Kiyavash, Prateek Mittal and H. Vincent Poor, 2020, "Partial Recovery of Erdos-Rényi Graph Alignment via k-Core Alignment", ACM
- Osman Emre Dai, Daniel Cullina and Negar Kiyavash, 2020, "Achievability of nearly-exact alignment for correlated Gaussian databases", IEEE
- Arjun Nitin Bhagoji, Daniel Cullina and Prateek Mittal, 2019, "Lower bounds on adversarial robustness from optimal transport", pp. 7496--7508
- Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang and Prateek Mittal, 2019, "Analyzing the Robustness of Open-World Machine Learning", ACM Press
- Daniel Cullina, Prateek Mittal and Negar Kiyavash, 2018, "Fundamental Limits of Database Alignment", IEEE
- Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin and Prateek Mittal, 2018, "Enhancing robustness of machine learning systems via data transformations", IEEE
- AmirEmad Ghassami, Daniel Cullina and Negar Kiyavash, 2016, "Message partitioning and limited auxiliary randomness: Alternatives to Honey Encryption", IEEE
- Daniel Cullina, Marco Dalai and Yury Polyanskiy, 2016, "Rate-distance tradeoff for codes above graph capacity", IEEE
- Alessandra Melani, Renato Mancuso, Daniel Cullina, Marco Caccamo and Lothar Thiele, 2016, "Speed Optimization for Tasks with Two Resources", Research Publishing Services
- Daniel Cullina and Negar Kiyavash, 2016, "Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching", ACM Press
- Daniel Cullina and Negar Kiyavash, 2015, "Combinatorial channels from partially ordered sets", IEEE
- Daniel Cullina and Negar Kiyavash, 2014, "Generalized sphere-packing upper bounds on the size of codes for combinatorial channels", IEEE
- Daniel Cullina and Negar Kiyavash, 2013, "An improvement to Levenshtein's upper bound on the cardinality of deletion correcting codes", IEEE
- Daniel Cullina, Ankur A. Kulkarni and Negar Kiyavash, 2012, "A coloring approach to constructing deletion correcting codes from constant weight subgraphs", IEEE
- Wenxin Ding, Sophie Dai, Arjun Nitin Bhagoji, Daniel Cullina, Haitao Zheng, Ben Zhou and Prateek Mittal, , "Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker"
