Negar Kiyavash

268 papers A* 42A 15B 28C 6Misc 9Journal 142Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neighborhood-Aware Graph Labeling Problem. CoRR Mohammad Shahverdikondori, Sepehr Elahi, Patrick Thiran, Negar Kiyavash
2026	A*	`conf`	Recursive Causal Discovery (Abstract Reprint). AAAI Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2026	J	`jnl`	Zeroth-Order Stackelberg Control in Combinatorial Congestion Games. CoRR Saeed Masiha, Sepehr Elahi, Negar Kiyavash, Patrick Thiran
2025	J	`jnl`	Best Group Identification in Multi-Objective Bandits. CoRR Mohammad Shahverdikondori, Mohammad Reza Badri, Negar Kiyavash
2025	—	`conf`	Causal Bandits without Graph Learning. CLeaR Mikhail Konobeev, Jalal Etesami, Negar Kiyavash
2025	A	`conf`	Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. UAI Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. CoRR Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash
2025	A*	`conf`	Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. ICML Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash, Mathias Drton
2025	J	`jnl`	Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. CoRR Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
2025	A	`conf`	Efficiently Escaping Saddle Points for Policy Optimization. UAI Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser
2025	J	`jnl`	Fusing Rewards and Preferences in Reinforcement Learning. CoRR Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser
2025	J	`jnl`	Graph Learning is Suboptimal in Causal Bandits. CoRR Mohammad Shahverdikondori, Jalal Etesami, Negar Kiyavash
2025	J	`jnl`	Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference. CoRR Fateme Jamshidi, Mohammad Shahverdikondori, Negar Kiyavash
2025	A*	`conf`	Hierarchical Reinforcement Learning with Targeted Causal Interventions. ICML Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser
2025	J	`jnl`	Hierarchical Reinforcement Learning with Targeted Causal Interventions. CoRR Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser
2025	—	`conf`	Multi-Domain Causal Discovery in Bijective Causal Models. CLeaR Kasra Jalaldoust, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Multi-Domain Causal Discovery in Bijective Causal Models. CoRR Kasra Jalaldoust, Saber Salehkaleybar, Negar Kiyavash
2025	A	`conf`	Multi-armed Bandits with Missing Outcomes. UAI Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash
2025	J	`jnl`	Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models. CoRR Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Optimal Best Arm Identification with Post-Action Context. CoRR Mohammad Shahverdikondori, Amir Mohammad Abouei, Alireza Rezaeimoghadam, Negar Kiyavash
2025	J	`jnl`	Optimal Experiment Design for Causal Effect Identification. J. Mach. Learn. Res. Sina Akbari, Jalal Etesami, Negar Kiyavash
2025	J	`jnl`	Recursive Causal Discovery. J. Mach. Learn. Res. Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2025	—	`conf`	Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding. CLeaR Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2025	J	`jnl`	Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding. CoRR Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2024	J	`jnl`	Causal Discovery in Linear Models with Unobserved Variables and Measurement Error. CoRR Yuqin Yang, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang, AmirEmad Ghassami
2024	A*	`conf`	Causal Effect Identification in LiNGAM Models with Latent Confounders. ICML Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
2024	J	`jnl`	Causal Effect Identification in LiNGAM Models with Latent Confounders. CoRR Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
2024	A*	`conf`	Causal Effect Identification in a Sub-Population with Latent Variables. NeurIPS Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser
2024	J	`jnl`	Causal Effect Identification in a Sub-Population with Latent Variables. CoRR Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser
2024	—	`conf`	CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
2024	J	`jnl`	Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles. CoRR Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
2024	—	`conf`	Confounded Budgeted Causal Bandits. CLeaR Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2024	J	`jnl`	Confounded Budgeted Causal Bandits. CoRR Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2024	A*	`conf`	Fast Proxy Experiment Design for Causal Effect Identification. NeurIPS Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
2024	J	`jnl`	Fast Proxy Experiment Design for Causal Effect Identification. CoRR Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
2024	A	`conf`	Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. AISTATS Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
2024	J	`jnl`	Momentum-Based Policy Gradient with Second-Order Information. Trans. Mach. Learn. Res. Saber Salehkaleybar, Mohammadsadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran
2024	J	`jnl`	Multi-armed Bandits with Missing Outcome. CoRR Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash
2024	A*	`conf`	On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery. ICML Fateme Jamshidi, Luca Ganassali, Negar Kiyavash
2024	A*	`conf`	QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs. NeurIPS Mohammad Shahverdikondori, Ehsan Mokhtarian, Negar Kiyavash
2024	J	`jnl`	QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs. CoRR Mohammad Shahverdikondori, Ehsan Mokhtarian, Negar Kiyavash
2024	J	`jnl`	Recursive Causal Discovery. CoRR Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2024	A*	`conf`	Triple Changes Estimator for Targeted Policies. ICML Sina Akbari, Negar Kiyavash
2024	A	`ed.`	Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. UAI Negar Kiyavash, Joris M. Mooij
2024	A*	`conf`	s-ID: Causal Effect Identification in a Sub-population. AAAI Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash
2023	A*	`conf`	A Cross-Moment Approach for Causal Effect Estimation. NeurIPS Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
2023	J	`jnl`	A Cross-Moment Approach for Causal Effect Estimation. CoRR Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
2023	J	`jnl`	A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. J. Mach. Learn. Res. Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash
2023	J	`jnl`	Analysis of Large Market Data Using Neural Networks: A Causal Approach. IEEE J. Sel. Areas Inf. Theory Marc-Aurèle Divernois, Jalal Etesami, Damir Filipovic, Negar Kiyavash
2023	J	`jnl`	Causal Bandits without Graph Learning. CoRR Mikhail Konobeev, Jalal Etesami, Negar Kiyavash
2023	A*	`conf`	Causal Effect Identification in Uncertain Causal Networks. NeurIPS Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
2023	A*	`conf`	Causal Imitability Under Context-Specific Independence Relations. NeurIPS Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2023	J	`jnl`	Causal Imitability Under Context-Specific Independence Relations. CoRR Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2023	J	`jnl`	CausalCite: A Causal Formulation of Paper Citations. CoRR Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
2023	J	`jnl`	Editorial Special Issue on Causality: Fundamental Limits and Applications. IEEE J. Sel. Areas Inf. Theory Negar Kiyavash, Elias Bareinboim, Todd P. Coleman, Alex Dimakis, Bernhard Schlkopf, Peter Spirtes, Kun Zhang, Robert Nowak
2023	J	`jnl`	Efficiently Escaping Saddle Points for Non-Convex Policy Optimization. CoRR Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser
2023	J	`jnl`	Gaussian Database Alignment and Gaussian Planted Matching. CoRR Osman Emre Dai, Daniel Cullina, Negar Kiyavash
2023	J	`jnl`	Learning Causal Graphs via Monotone Triangular Transport Maps. CoRR Sina Akbari, Luca Ganassali, Negar Kiyavash
2023	J	`jnl`	Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. CoRR Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
2023	J	`jnl`	Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework. CoRR Jalal Etesami, Ali Habibnia, Negar Kiyavash
2023	A*	`conf`	Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. AAAI Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash
2023	A	`conf`	On Identifiability of Conditional Causal Effects. UAI Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
2023	J	`jnl`	On Identifiability of Conditional Causal Effects. CoRR Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
2023	J	`jnl`	On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery. CoRR Fateme Jamshidi, Luca Ganassali, Negar Kiyavash
2023	J	`jnl`	s-ID: Causal Effect Identification in a Sub-Population. CoRR Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash
2022	J	`jnl`	A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. CoRR Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash
2022	J	`jnl`	Adaptive Momentum-Based Policy Gradient with Second-Order Information. CoRR Saber Salehkaleybar, Sadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran
2022	A*	`conf`	Causal Discovery in Linear Latent Variable Models Subject to Measurement Error. NeurIPS Yuqin Yang, AmirEmad Ghassami, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser
2022	J	`jnl`	Causal Discovery in Linear Latent Variable Models Subject to Measurement Error. CoRR Yuqin Yang, AmirEmad Ghassami, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser
2022	—	`conf`	Causal Discovery in Linear Structural Causal Models with Deterministic Relations. CLeaR Yuqin Yang, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash
2022	J	`jnl`	Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
2022	A	`conf`	Causal Effect Identification with Context-specific Independence Relations of Control Variables. AISTATS Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2022	A*	`conf`	Learning Bayesian Networks in the Presence of Structural Side Information. AAAI Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2022	A*	`conf`	Minimum Cost Intervention Design for Causal Effect Identification. ICML Sina Akbari, Jalal Etesami, Negar Kiyavash
2022	J	`jnl`	Minimum Cost Intervention Design for Causal Effect Identification. CoRR Sina Akbari, Jalal Etesami, Negar Kiyavash
2022	J	`jnl`	Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. CoRR Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash
2022	J	`jnl`	Revisiting the General Identifiability Problem. CoRR Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash
2022	A	`conf`	Revisiting the general identifiability problem. UAI Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash
2022	A*	`conf`	Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality. NeurIPS Ilyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash
2022	A*	`conf`	Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions. NeurIPS Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
2022	J	`jnl`	Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions. CoRR Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
2021	—	`conf`	A Recursive Markov Boundary-Based Approach to Causal Structure Learning. CD@KDD Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
2021	A	`conf`	A Variational Inference Approach to Learning Multivariate Wold Processes. AISTATS Jalal Etesami, William Trouleau, Negar Kiyavash, Matthias Grossglauser, Patrick Thiran
2021	J	`jnl`	Causal Discovery in Linear Structural Causal Models with Deterministic Relations. CoRR Yuqin Yang, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Causal Effect Identification with Context-specific Independence Relations of Control Variables. CoRR Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2021	A*	`conf`	Cumulants of Hawkes Processes are Robust to Observation Noise. ICML William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran
2021	J	`jnl`	Editorial. Proc. ACM Meas. Anal. Comput. Syst. Anshul Gandhi, Negar Kiyavash, Jia Wang
2021	B	`conf`	Impact of Data Processing on Fairness in Supervised Learning. ISIT Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Impact of Data Processing on Fairness in Supervised Learning. CoRR Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Information Theoretic Measures for Fairness-aware Feature Selection. CoRR Sajad Khodadadian, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Learning Bayesian Networks in the Presence of Structural Side Information. CoRR Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2021	J	`jnl`	Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert. IEEE Trans. Inf. Forensics Secur. S. Rasoul Etesami, Negar Kiyavash, Vincent Léon, H. Vincent Poor
2021	—	`conf`	Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	A*	`conf`	Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. NeurIPS Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. CoRR Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
2021	—	`ed.`	SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Virtual Event, China, June 14-18, 2021. SIGMETRICS Longbo Huang, Anshul Gandhi, Negar Kiyavash, Jia Wang
2021	C	`conf`	Selective Labeling in Learning with Expert Advice. ACC Anh Truong, S. Rasoul Etesami, Negar Kiyavash
2021	J	`jnl`	The Complexity of Nonconvex-Strongly-Concave Minimax Optimization. CoRR Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He
2021	A*	`conf`	The KDD 2021 Workshop on Causal Discovery (CD2021). KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	—	`ed.`	The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. CD@KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	A	`conf`	The complexity of nonconvex-strongly-concave minimax optimization. UAI Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He
2020	A*	`conf`	A Catalyst Framework for Minimax Optimization. NeurIPS Junchi Yang, Siqi Zhang, Negar Kiyavash, Niao He
2020	J	`jnl`	A Recursive Markov Blanket-Based Approach to Causal Structure Learning. CoRR Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
2020	B	`conf`	Achievability of nearly-exact alignment for correlated Gaussian databases. ISIT Osman Emre Dai, Daniel Cullina, Negar Kiyavash
2020	J	`jnl`	Adversarial Policies in Learning Systems with Malicious Experts. CoRR S. Rasoul Etesami, Negar Kiyavash, H. Vincent Poor
2020	A*	`conf`	Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs. ICML AmirEmad Ghassami, Alan Yang, Negar Kiyavash, Kun Zhang
2020	A*	`conf`	Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems. NeurIPS Junchi Yang, Negar Kiyavash, Niao He
2020	J	`jnl`	Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems. CoRR Junchi Yang, Negar Kiyavash, Niao He
2020	J	`jnl`	Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. IEEE Signal Process. Mag. Antonio G. Marques, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
2020	J	`jnl`	Guest Editorial. IEEE J. Sel. Areas Inf. Theory Richard G. Baraniuk, Alex Dimakis, Negar Kiyavash, Sewoong Oh, Rebecca Willett
2020	A*	`conf`	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. ICML Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
2020	J	`jnl`	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. CoRR Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
2020	J	`jnl`	Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. J. Mach. Learn. Res. Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
2020	A	`conf`	Model-Augmented Conditional Mutual Information Estimation for Feature Selection. UAI Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum
2020	—	`conf`	Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. SIGMETRICS (Abstracts) Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
2020	A*	`conf`	The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS Yingxiang Yang, Negar Kiyavash, Le Song, Niao He
2019	A	`conf`	A Novel Side-Channel in Real-Time Schedulers. RTAS Chien-Ying Chen, Sibin Mohan, Rodolfo Pellizzoni, Rakesh B. Bobba, Negar Kiyavash
2019	J	`jnl`	A bi-criteria multiple-choice secretary problem. IISE Trans. Ge Yu, Sheldon H. Jacobson, Negar Kiyavash
2019	J	`jnl`	Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdos-Rényi Graphs. Proc. ACM Meas. Anal. Comput. Syst. Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser
2019	—	`conf`	Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rényi Graphs. SIGMETRICS (Abstracts) Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser
2019	J	`jnl`	Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs. CoRR AmirEmad Ghassami, Kun Zhang, Negar Kiyavash
2019	A*	`conf`	Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. AAAI AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
2019	A	`conf`	Database Alignment with Gaussian Features. AISTATS Osman Emre Dai, Daniel Cullina, Negar Kiyavash
2019	J	`jnl`	Database Alignment with Gaussian Features. CoRR Osman Emre Dai, Daniel Cullina, Negar Kiyavash
2019	J	`jnl`	Interventional Experiment Design for Causal Structure Learning. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
2019	A*	`conf`	Learning Hawkes Processes Under Synchronization Noise. ICML William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran
2019	J	`jnl`	Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. CoRR Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
2019	A*	`conf`	Learning Positive Functions with Pseudo Mirror Descent. NeurIPS Yingxiang Yang, Haoxiang Wang, Negar Kiyavash, Niao He
2019	J	`jnl`	Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection. CoRR Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum
2019	J	`jnl`	Partial Recovery of Erdðs-Rényi Graph Alignment via k-Core Alignment. Proc. ACM Meas. Anal. Comput. Syst. Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
2018	J	`jnl`	A Covert Queueing Channel in FCFS Schedulers. IEEE Trans. Inf. Forensics Secur. AmirEmad Ghassami, Negar Kiyavash
2018	—	`conf`	Adversarial Machine Learning: The Case of Recommendation Systems. SPAWC Anh Truong, Negar Kiyavash, Seyed Rasoul Etesami
2018	A*	`conf`	Budgeted Experiment Design for Causal Structure Learning. ICML AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim
2018	J	`jnl`	Counting and Uniform Sampling from Markov Equivalent DAGs. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
2018	B	`conf`	Fairness in Supervised Learning: An Information Theoretic Approach. ISIT AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash
2018	J	`jnl`	Fairness in Supervised Learning: An Information Theoretic Approach. CoRR AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash
2018	B	`conf`	Fundamental Limits of Database Alignment. ISIT Daniel Cullina, Prateek Mittal, Negar Kiyavash
2018	J	`jnl`	Fundamental Limits of Database Alignment. CoRR Daniel Cullina, Prateek Mittal, Negar Kiyavash
2018	J	`jnl`	Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash
2018	J	`jnl`	Learning From Sleeping Experts: Rewarding Informative, Available, and Accurate Experts. ACM Trans. Design Autom. Electr. Syst. Anh Truong, S. Rasoul Etesami, Negar Kiyavash
2018	A*	`conf`	Learning Vector Autoregressive Models With Latent Processes. AAAI Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang
2018	A*	`conf`	Multi-domain Causal Structure Learning in Linear Systems. NeurIPS AmirEmad Ghassami, Negar Kiyavash, Biwei Huang, Kun Zhang
2018	J	`jnl`	On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs. CoRR Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser
2018	J	`jnl`	Optimal Attack Strategies Against Predictors - Learning From Expert Advice. IEEE Trans. Inf. Forensics Secur. Anh Truong, S. Rasoul Etesami, Jalal Etesami, Negar Kiyavash
2018	J	`jnl`	Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. CoRR Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor
2018	A*	`conf`	Predictive Approximate Bayesian Computation via Saddle Points. NeurIPS Yingxiang Yang, Bo Dai, Negar Kiyavash, Niao He
2018	J	`jnl`	REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation. CoRR Chien-Ying Chen, Monowar Hasan, AmirEmad Ghassami, Sibin Mohan, Negar Kiyavash
2018	J	`jnl`	ScheduLeak: A Novel Scheduler Side-Channel Attack Against Real-Time Autonomous Control Systems. CoRR Chien-Ying Chen, Sibin Mohan, Rakesh B. Bobba, Rodolfo Pellizzoni, Negar Kiyavash
2017	J	`jnl`	A Covert Queueing Channel in FCFS Schedulers. CoRR AmirEmad Ghassami, Negar Kiyavash
2017	J	`jnl`	A Covert Queueing Channel in Round Robin Schedulers. CoRR AmirEmad Ghassami, Ali Yekkehkhany, Negar Kiyavash, Yi Lu
2017	J	`jnl`	A New Measure of Conditional Dependence for Causal Structural Learning. CoRR Jalal Etesami, Kun Zhang, Negar Kiyavash
2017	J	`jnl`	A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems. CoRR Chien-Ying Chen, AmirEmad Ghassami, Sibin Mohan, Negar Kiyavash, Rakesh B. Bobba, Rodolfo Pellizzoni, Man-Ki Yoon
2017	J	`jnl`	Bounded-Degree Connected Approximations of Stochastic Networks. IEEE Trans. Mol. Biol. Multi Scale Commun. Christopher J. Quinn, Ali Pinar, Negar Kiyavash
2017	J	`jnl`	Budgeted Experiment Design for Causal Structure Learning. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim
2017	Misc	`conf`	Efficient neighborhood selection for walk summable Gaussian graphical models. ACSSC Yingxang Yang, Jalal Etesami, Negar Kiyavash
2017	J	`jnl`	Exact alignment recovery for correlated Erdos Renyi graphs. CoRR Daniel Cullina, Negar Kiyavash
2017	J	`jnl`	Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables. CoRR Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
2017	B	`conf`	Identifying nonlinear 1-step causal influences in presence of latent variables. ISIT Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
2017	J	`jnl`	Interaction Information for Causal Inference: The Case of Directed Triangle. CoRR AmirEmad Ghassami, Negar Kiyavash
2017	B	`conf`	Interaction information for causal inference: The case of directed triangle. ISIT AmirEmad Ghassami, Negar Kiyavash
2017	—	`conf`	Learning Causal Structures Using Regression Invariance. NIPS AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
2017	J	`jnl`	Learning Causal Structures Using Regression Invariance. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
2017	J	`jnl`	Learning Latent Networks in Vector Auto Regressive Models. CoRR Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
2017	J	`jnl`	Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies. IEEE Trans. Signal Inf. Process. over Networks Jalal Etesami, Negar Kiyavash
2017	—	`conf`	Online Learning for Multivariate Hawkes Processes. NIPS Yingxiang Yang, Jalal Etesami, Niao He, Negar Kiyavash
2017	J	`jnl`	Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
2017	J	`jnl`	Phonion: Practical Protection of Metadata in Telephony Networks. Proc. Priv. Enhancing Technol. Stephan Heuser, Bradley Reaves, Praveen Kumar Pendyala, Henry Carter, Alexandra Dmitrienko, William Enck, Negar Kiyavash, Ahmad-Reza Sadeghi, Patrick Traynor
2017	J	`jnl`	Significance of Side Information in the Graph Matching Problem. CoRR Kushagra Singhal, Daniel Cullina, Negar Kiyavash
2016	J	`jnl`	Generalized Sphere-Packing Bounds on the Size of Codes for Combinatorial Channels. IEEE Trans. Inf. Theory Daniel Cullina, Negar Kiyavash
2016	A*	`conf`	Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching. SIGMETRICS Daniel Cullina, Negar Kiyavash
2016	J	`jnl`	Improved Achievability and Converse Bounds for Erdős-Rényi Graph Matching. CoRR Daniel Cullina, Negar Kiyavash
2016	B	`conf`	Interventional dependency graphs: An approach for discovering influence structure. ISIT Jalal Etesami, Negar Kiyavash
2016	J	`jnl`	Learning Minimal Latent Directed Information Polytrees. Neural Comput. Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2016	A	`conf`	Learning Network of Multivariate Hawkes Processes: A Time Series Approach. UAI Jalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal
2016	J	`jnl`	Learning Network of Multivariate Hawkes Processes: A Time Series Approach. CoRR Jalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal
2016	B	`conf`	Message partitioning and limited auxiliary randomness: Alternatives to Honey Encryption. ISIT AmirEmad Ghassami, Daniel F. Cullina, Negar Kiyavash
2016	J	`jnl`	Mitigating Timing Side Channel in Shared Schedulers. IEEE/ACM Trans. Netw. Sachin Kadloor, Negar Kiyavash, Parv Venkitasubramaniam
2016	J	`jnl`	On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks. CoRR Daniel Cullina, Kushagra Singhal, Negar Kiyavash, Prateek Mittal
2016	J	`jnl`	On the Vulnerability of Digital Fingerprinting Systems to Finite Alphabet Collusion Attacks. CoRR Jalal Etesami, Negar Kiyavash
2016	J	`jnl`	Quantifying the Information Leakage in Timing Side Channels in Deterministic Work-Conserving Schedulers. IEEE/ACM Trans. Netw. Xun Gong, Negar Kiyavash
2016	J	`jnl`	Restricted Composition Deletion Correcting Codes. IEEE Trans. Inf. Theory Daniel Cullina, Negar Kiyavash, Ankur A. Kulkarni
2016	A*	`conf`	Sneak-Peek: High speed covert channels in data center networks. INFOCOM Rashid Tahir, Mohammad Taha Khan, Xun Gong, Adnan Ahmed, AmirEmad Ghassami, Hasanat Kazmi, Matthew Caesar, Fareed Zaffar, Negar Kiyavash
2015	J	`jnl`	Bounded Degree Approximations of Stochastic Networks. CoRR Christopher J. Quinn, Ali Pinar, Negar Kiyavash
2015	B	`conf`	Capacity limit of queueing timing channel in shared FCFS schedulers. ISIT AmirEmad Ghassami, Xun Gong, Negar Kiyavash
2015	B	`conf`	Combinatorial channels from partially ordered sets. ITW Daniel Cullina, Negar Kiyavash
2015	J	`jnl`	Delay-Privacy Tradeoff in the Design of Scheduling Policies. IEEE Trans. Inf. Theory Sachin Kadloor, Negar Kiyavash
2015	J	`jnl`	Directed Information Graphs. IEEE Trans. Inf. Theory Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2015	J	`jnl`	Efficient Neighborhood Selection for Gaussian Graphical Models. CoRR Yingxiang Yang, Jalal Etesami, Negar Kiyavash
2014	B	`conf`	A novel collusion attack on finite alphabet digital fingerprinting systems. ISIT Jalal Etesami, Negar Kiyavash
2014	J	`jnl`	An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes. IEEE Trans. Inf. Theory Daniel Cullina, Negar Kiyavash
2014	C	`conf`	Directed Information Graphs: A generalization of Linear Dynamical Graphs. ACC Jalal Etesami, Negar Kiyavash
2014	J	`jnl`	Dynamic and Succinct Statistical Analysis of Neuroscience Data. Proc. IEEE Sanggyun Kim, Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2014	J	`jnl`	Generalized sphere-packing and sphere-covering bounds on the size of codes for combinatorial channels. CoRR Daniel Cullina, Negar Kiyavash
2014	B	`conf`	Generalized sphere-packing upper bounds on the size of codes for combinatorial channels. ISIT Daniel F. Cullina, Negar Kiyavash
2014	J	`jnl`	Non-Blind Watermarking of Network Flows. IEEE/ACM Trans. Netw. Amir Houmansadr, Negar Kiyavash, Nikita Borisov
2014	J	`jnl`	On the Varshamov-Tenengolts construction on binary strings. Discret. Math. Ankur A. Kulkarni, Negar Kiyavash, Ramavarapu S. Sreenivas
2014	J	`jnl`	Timing Side Channels in Shared Queues. CoRR Xun Gong, Negar Kiyavash
2013	J	`jnl`	A Timing Channel Spyware for the CSMA/CA Protocol. IEEE Trans. Inf. Forensics Secur. Negar Kiyavash, Farinaz Koushanfar, Todd P. Coleman, Mavis Rodrigues
2013	J	`jnl`	An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes CoRR Daniel Cullina, Negar Kiyavash
2013	J	`jnl`	An Information Theoretic Study of Timing Side Channels in Two-user Schedulers. CoRR Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam
2013	B	`conf`	An improvement to Levenshtein's upper bound on the cardinality of deletion correcting codes. ISIT Daniel Cullina, Negar Kiyavash
2013	A*	`conf`	Delay optimal policies offer very little privacy. INFOCOM Sachin Kadloor, Negar Kiyavash
2013	J	`jnl`	Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. IEEE Trans. Signal Process. Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2013	J	`jnl`	Fingerprinting With Equiangular Tight Frames. IEEE Trans. Inf. Theory Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
2013	J	`jnl`	Invisible Flow Watermarks for Channels With Dependent Substitution, Deletion, and Bursty Insertion Errors. IEEE Trans. Inf. Forensics Secur. Xun Gong, Mavis Rodrigues, Negar Kiyavash
2013	J	`jnl`	Invisible Flow Watermarks for Channels with Dependent Substitution, Deletion, and Bursty Insertion Errors CoRR Xun Gong, Mavis Rodrigues, Negar Kiyavash
2013	J	`jnl`	Mitigating Timing Side Channel in Shared Schedulers CoRR Sachin Kadloor, Negar Kiyavash, Parv Venkitasubramaniam
2013	J	`jnl`	Nonasymptotic Upper Bounds for Deletion Correcting Codes. IEEE Trans. Inf. Theory Ankur A. Kulkarni, Negar Kiyavash
2013	—	`conf`	Optimal adversarial strategies in learning with expert advice. CDC Anh Truong, Negar Kiyavash
2013	B	`conf`	Optimal bounded-degree approximations of joint distributions of networks of stochastic processes. ISIT Christopher J. Quinn, Ali Pinar, Negar Kiyavash
2013	J	`jnl`	Preventing Timing Analysis in Networks: A Statistical Inference Perspective. IEEE Signal Process. Mag. Sachin Kadloor, Parv Venkitasubramaniam, Negar Kiyavash
2013	B	`conf`	Robust directed tree approximations for networks of stochastic processes. ISIT Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2013	Misc	`conf`	Timing side channels for traffic analysis. ICASSP Xun Gong, Negar Kiyavash
2012	B	`conf`	A coloring approach to constructing deletion correcting codes from constant weight subgraphs. ISIT Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash
2012	J	`jnl`	Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels. IEEE Trans. Inf. Forensics Secur. Siva K. Gorantla, Sachin Kadloor, Negar Kiyavash, Todd P. Coleman, Ira S. Moskowitz, Myong H. Kang
2012	J	`jnl`	Designing Router Scheduling Policies: A Privacy Perspective. IEEE Trans. Signal Process. Sachin Kadloor, Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam
2012	J	`jnl`	Directed Information Graphs CoRR Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2012	Misc	`conf`	Invisible flow watermarks for channels with dependent substitution and deletion errors. ICASSP Xun Gong, Mavis Rodrigues, Negar Kiyavash
2012	B	`conf`	Learning minimal latent directed information trees. ISIT Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2012	A*	`conf`	Mitigating timing based information leakage in shared schedulers. INFOCOM Sachin Kadloor, Negar Kiyavash, Parv Venkitasubramaniam
2012	J	`jnl`	Multi-Flow Attacks Against Network Flow Watermarks: Analysis and Countermeasures CoRR Negar Kiyavash, Amir Houmansadr, Nikita Borisov
2012	J	`jnl`	Non-asymptotic Upper Bounds for Deletion Correcting Codes CoRR Ankur A. Kulkarni, Negar Kiyavash
2012	J	`jnl`	Non-blind watermarking of network flows CoRR Amir Houmansadr, Negar Kiyavash, Nikita Borisov
2012	B	`conf`	Scheduling with privacy constraints. ITW Sachin Kadloor, Negar Kiyavash, Parv Venkitasubramaniam
2012	J	`jnl`	Two Approaches to the Construction of Deletion Correcting Codes: Weight Partitioning and Optimal Colorings CoRR Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash
2012	A	`conf`	Website Detection Using Remote Traffic Analysis. Privacy Enhancing Technologies Xun Gong, Nikita Borisov, Negar Kiyavash, Nabil Schear
2011	—	`conf`	A minimal approach to causal inference on topologies with bounded indegree. CDC/ECC Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	B	`conf`	An algorithmic approach for finding deletion correcting codes. ITW Farzaneh Khajouei, Mahdy Zolghadr, Negar Kiyavash
2011	J	`jnl`	Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes CoRR Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
2011	—	`conf`	Convergence analysis for an online recommendation system. CDC/ECC Anh Truong, Negar Kiyavash, Vivek S. Borkar
2011	Misc	`conf`	Designing privacy preserving router scheduling policies. CISS Sachin Kadloor, Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam
2011	Misc	`conf`	Equiangular tight frame fingerprinting codes. ICASSP Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
2011	B	`conf`	Equivalence between minimal generative model graphs and directed information graphs. ISIT Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	J	`jnl`	Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J. Comput. Neurosci. Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash, Nicholas G. Hatsopoulos
2011	J	`jnl`	Fingerprinting with Equiangular Tight Frames CoRR Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
2011	B	`conf`	Information theoretic analysis of side channel information leakage in FCFS schedulers. ISIT Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam
2011	J	`jnl`	Website Detection Using Remote Traffic Analysis CoRR Xun Gong, Negar Kiyavash, Nabil Schear, Nikita Borisov
2010	C	`conf`	Approximating discrete probability distributions with causal dependence trees. ISITA Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
2010	A*	`conf`	Designing router scheduling policies: a privacy perspective. CCS Sachin Kadloor, Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam
2010	C	`conf`	Directed information and the NRL Network Pump. ISITA Siva K. Gorantla, Sachin Kadloor, Todd P. Coleman, Negar Kiyavash, Ira S. Moskowitz, Myong H. Kang
2010	A*	`conf`	Fingerprinting websites using remote traffic analysis. CCS Xun Gong, Negar Kiyavash, Nikita Borisov
2010	—	`conf`	Low-Cost Side Channel Remote Traffic Analysis Attack in Packet Networks. ICC Sachin Kadloor, Xun Gong, Negar Kiyavash, Tolga Tezcan, Nikita Borisov
2009	Misc	`conf`	Covert timing channels codes for communication over interactive traffic. ICASSP Negar Kiyavash, Todd P. Coleman
2009	C	`conf`	Distributed triangulation in the presence faulty and byzantine beacons in aircraft networks with ADS-B technology. ACC Daniel Uhlig, Negar Kiyavash, Natasha A. Neogi
2009	Misc	`conf`	Multi-flow attack resistant watermarks for network flows. ICASSP Amir Houmansadr, Negar Kiyavash, Nikita Borisov
2009	—	`conf`	Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels. ICC Negar Kiyavash, Todd P. Coleman, Mavis Rodrigues
2009	J	`jnl`	Performance of orthogonal fingerprinting codes under worst-case noise. IEEE Trans. Inf. Forensics Secur. Negar Kiyavash, Pierre Moulin
2009	A*	`conf`	RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows. NDSS Amir Houmansadr, Negar Kiyavash, Nikita Borisov
2009	J	`jnl`	Regular simplex fingerprints and their optimality properties. IEEE Trans. Inf. Forensics Secur. Negar Kiyavash, Pierre Moulin, Ton Kalker
2008	A*	`conf`	Multi-flow Attacks Against Network Flow Watermarking Schemes. USENIX Security Symposium Negar Kiyavash, Amir Houmansadr, Nikita Borisov
2008	B	`conf`	Practical codes for queueing channels: An algebraic, state-space, message-passing approach. ITW Todd P. Coleman, Negar Kiyavash
2008	Misc	`conf`	Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. CISS Todd P. Coleman, Negar Kiyavash
2008	B	`conf`	The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. DCC Todd P. Coleman, Negar Kiyavash, Vijay G. Subramanian
2008	—	`conf`	Trusted Integrated Circuits: A Nondestructive Hidden Characteristics Extraction Approach. Information Hiding Yousra Alkabani, Farinaz Koushanfar, Negar Kiyavash, Miodrag Potkonjak
2007	B	`conf`	Anti-Collusion Position Estimation in Wireless Sensor Networks. MASS Negar Kiyavash, Farinaz Koushanfar
2007	B	`conf`	Expurgated Gaussian Fingerprinting Codes. ISIT Pierre Moulin, Negar Kiyavash
2007	—	`conf`	Performance of Random Fingerprinting Codes Under Arbitrary Nonlinear Attacks. ICASSP (2) Pierre Moulin, Negar Kiyavash
2007	—	`conf`	Sphere packing lower bound on fingerprinting error probability. Security, Steganography, and Watermarking of Multimedia Contents Negar Kiyavash, Pierre Moulin
2006	Misc	`conf`	A Framework for Optimizing Nonlinear Collusion Attacks on Fingerprinting Systems. CISS Negar Kiyavash, Pierre Moulin
2006	—	`—`	Information Theoretic Limits for Secure Multimedia and Magnetic Recording Negar Kiyavash
2006	B	`conf`	On Capacity of a Constrained Two-Dimensional Channel in Presence of Violations. ISIT Negar Kiyavash, Richard E. Blahut
2006	—	`conf`	On Optimal Collusion Strategies for Fingerprinting. ICASSP (5) Negar Kiyavash, Pierre Moulin
2005	J	`jnl`	On the Minimal Pseudo-Codewords of Codes from Finite Geometries CoRR Pascal O. Vontobel, Roxana Smarandache, Negar Kiyavash, Jason Teutsch, Dejan Vukobratovic
2005	B	`conf`	On the minimal pseudo-codewords of codes from finite geometries. ISIT Pascal O. Vontobel, Roxana Smarandache, Negar Kiyavash, Jason Teutsch, Dejan Vukobratovic
2005	C	`conf`	Regular Simplex Fingerprints and Their Optimality Properties. IWDW Negar Kiyavash, Pierre Moulin
2005	J	`jnl`	The Vector Decomposition Problem for Elliptic and Hyperelliptic Curves. IACR Cryptol. ePrint Arch. Iwan M. Duursma, Negar Kiyavash
2004	B	`conf`	On the vector decomposition problem for m-torsion points on an elliptic curve. ISIT Negar Kiyavash, Iwan M. Duursma
2003	—	`conf`	Secure smartcardbased fingerprint authentication. WBMA@MM T. Charles Clancy, Negar Kiyavash, Dennis J. Lin