Daniel Cullina

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 34

Top Topics

Machine Learning

Pac Learnability

Top Venues

IEEE Trans. Inf. Theory

Publications

Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. CoRR (2023)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash
Gaussian Database Alignment and Gaussian Planted Matching. CoRR (2023)
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. NeurIPS (2023)
Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. ICML (2021)
Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. CoRR (2021)
Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. SIGMETRICS (Abstracts) (2020)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash
Achievability of nearly-exact alignment for correlated Gaussian databases. ISIT (2020)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash
Database Alignment with Gaussian Features. CoRR (2019)
Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal
Analyzing the Robustness of Open-World Machine Learning. AISec@CCS (2019)
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Lower Bounds on Adversarial Robustness from Optimal Transport. CoRR (2019)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdos-Rényi Graphs. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples. CoRR (2019)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rényi Graphs. SIGMETRICS (Abstracts) (2019)
Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
Partial Recovery of Erdðs-Rényi Graph Alignment via k-Core Alignment. Proc. ACM Meas. Anal. Comput. Syst. 3 (3) (2019)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash
Database Alignment with Gaussian Features. AISTATS (2019)
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Lower Bounds on Adversarial Robustness from Optimal Transport. NeurIPS (2019)
Daniel Cullina, Prateek Mittal, Negar Kiyavash
Fundamental Limits of Database Alignment. ISIT (2018)
Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser
On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs. CoRR (2018)
Daniel Cullina, Prateek Mittal, Negar Kiyavash
Fundamental Limits of Database Alignment. CoRR (2018)
Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. CoRR (2018)
Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal
PAC-learning in the presence of evasion adversaries. CoRR (2018)
Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal
PAC-learning in the presence of adversaries. NeurIPS (2018)
Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal
Enhancing robustness of machine learning systems via data transformations. CISS (2018)
Kushagra Singhal, Daniel Cullina, Negar Kiyavash
Significance of Side Information in the Graph Matching Problem. CoRR (2017)
Daniel Cullina, Negar Kiyavash
Exact alignment recovery for correlated Erdos Renyi graphs. CoRR (2017)
Alessandra Melani, Renato Mancuso, Daniel Cullina, Marco Caccamo, Lothar Thiele
Optimizing resource speed for two-stage real-time tasks. Real Time Syst. 53 (1) (2017)
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers. CoRR (2017)
Daniel Cullina, Negar Kiyavash
Generalized Sphere-Packing Bounds on the Size of Codes for Combinatorial Channels. IEEE Trans. Inf. Theory 62 (8) (2016)
Daniel Cullina, Marco Dalai, Yury Polyanskiy
Rate-distance tradeoff for codes above graph capacity. CoRR (2016)
Daniel Cullina, Kushagra Singhal, Negar Kiyavash, Prateek Mittal
On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks. CoRR (2016)
Daniel Cullina, Negar Kiyavash
Improved Achievability and Converse Bounds for Erdős-Rényi Graph Matching. CoRR (2016)
Daniel Cullina, Negar Kiyavash, Ankur A. Kulkarni
Restricted Composition Deletion Correcting Codes. IEEE Trans. Inf. Theory 62 (9) (2016)
Alessandra Melani, Renato Mancuso, Daniel Cullina, Marco Caccamo, Lothar Thiele
Speed optimization for tasks with two resources. DATE (2016)
Daniel Cullina, Negar Kiyavash
Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching. SIGMETRICS (2016)
Daniel Cullina, Negar Kiyavash
Combinatorial channels from partially ordered sets. ITW (2015)
Daniel Cullina, Negar Kiyavash
Generalized sphere-packing and sphere-covering bounds on the size of codes for combinatorial channels. CoRR (2014)
Daniel Cullina, Negar Kiyavash
An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes. IEEE Trans. Inf. Theory 60 (7) (2014)
Daniel Cullina, Negar Kiyavash
An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes CoRR (2013)
Daniel Cullina, Negar Kiyavash
An improvement to Levenshtein's upper bound on the cardinality of deletion correcting codes. ISIT (2013)
Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash
A coloring approach to constructing deletion correcting codes from constant weight subgraphs. ISIT (2012)
Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash
Two Approaches to the Construction of Deletion Correcting Codes: Weight Partitioning and Optimal Colorings CoRR (2012)
Daniel Cullina, Alexandros G. Dimakis, Tracey Ho
Searching for Minimum Storage Regenerating Codes CoRR (2009)