Flávio P. Calmon

148 papers A* 20A 5B 35Misc 3Journal 72Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ArcMark: Multi-bit LLM Watermark via Optimal Transport. CoRR Atefeh Gilani, Carol Xuan Long, Sajani Vithana, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2025	J	`jnl`	AI Alignment at Your Discretion. CoRR Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Vieira Machado, Flávio P. Calmon
2025	J	`jnl`	An information theorist's tour of differential privacy. CoRR Anand D. Sarwate, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	—	`conf`	Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. SaTML Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2025	—	`conf`	Debiasing Functions of Private Statistics in Postprocessing. FORC Flávio P. Calmon, Elbert Du, Cynthia Dwork, Brian Finley, Grigory Franguridi
2025	J	`jnl`	Debiasing Functions of Private Statistics in Postprocessing. CoRR Flávio P. Calmon, Elbert Du, Cynthia Dwork, Brian Finley, Grigory Franguridi
2025	B	`conf`	Differentially Private Distributed Mean Estimation with Constrained User Correlations. ISIT Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2025	J	`jnl`	HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions. CoRR Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Chen-Fu Chen, Haim H. Permuter, Sajani Vithana, Flávio P. Calmon
2025	—	`conf`	Kernel Multiaccuracy. FORC Carol Xuan Long, Wael Alghamdi, Alexander Glynn, Yixuan Wu, Flávio P. Calmon
2025	J	`jnl`	Multi-Group Proportional Representation for Text-to-Image Models. CoRR Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flávio P. Calmon
2025	A*	`conf`	Multi-Group Proportional Representations for Text-to-Image Models. CVPR Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flávio P. Calmon
2025	J	`jnl`	Optimal Additive Noise Mechanisms for Differential Privacy. CoRR Atefeh Gilani, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	B	`conf`	Optimized Couplings for Watermarking Large Language Models. ISIT Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flávio P. Calmon
2025	J	`jnl`	Optimized Couplings for Watermarking Large Language Models. CoRR Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flávio P. Calmon
2025	A*	`conf`	Optimizing Noise Distributions for Differential Privacy. ICML Atefeh Gilani, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	A*	`conf`	Regretful Decisions under Label Noise. ICLR Sujay Nagaraj, Yang Liu, Flávio P. Calmon, Berk Ustun
2025	J	`jnl`	Regretful Decisions under Label Noise. CoRR Sujay Nagaraj, Yang Liu, Flávio P. Calmon, Berk Ustun
2025	J	`jnl`	RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories. CoRR Roy Rinberg, Usha Bhalla, Igor Shilov, Flávio P. Calmon, Rohit Gandikota
2025	B	`conf`	Soft Best-of-$n$ Sampling for Model Alignment. ISIT Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio P. Calmon
2025	J	`jnl`	Soft Best-of-n Sampling for Model Alignment. CoRR Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio P. Calmon
2025	J	`jnl`	Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability. CoRR Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun, Himabindu Lakkaraju, Flávio P. Calmon
2025	B	`conf`	Tensorization of $f$-Divergences. ISIT Rodrigo Cruz, Mario Díaz, Flávio P. Calmon
2025	J	`jnl`	Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy. CoRR Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flávio P. Calmon, Jean Louis Raisaro
2024	B	`conf`	$\mathrm{E}_{\gamma}$-Mixing Time. ISIT Behnoosh Zamanlooy, Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2024	—	`conf`	Algorithmic Arbitrariness in Content Moderation. FAccT Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon
2024	J	`jnl`	Algorithmic Arbitrariness in Content Moderation. CoRR Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon
2024	A*	`conf`	Attack-Aware Noise Calibration for Differential Privacy. NeurIPS Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Flávio P. Calmon, Carmela Troncoso
2024	J	`jnl`	Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. CoRR Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2024	B	`conf`	Differential-Privacy Capacity. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2024	A	`conf`	Fair Machine Unlearning: Data Removal while Mitigating Disparities. AISTATS Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju
2024	A*	`conf`	Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). NeurIPS Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
2024	J	`jnl`	Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). CoRR Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
2024	J	`jnl`	Measuring Information From Moments. IEEE Trans. Inf. Theory Wael Alghamdi, Flávio P. Calmon
2024	J	`jnl`	Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. IEEE J. Sel. Areas Inf. Theory Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami
2024	A*	`conf`	Multi-Group Proportional Representation in Retrieval. NeurIPS Alex Oesterling, Claudio Mayrink Verdun, Alexander Glynn, Carol Xuan Long, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024	J	`jnl`	Multi-Group Proportional Representation. CoRR Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024	B	`conf`	Private Approximate Nearest Neighbor Search for Vector Database Querying. ISIT Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024	A*	`conf`	Selective Explanations. NeurIPS Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon
2024	J	`jnl`	Selective Explanations. CoRR Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon
2023	A*	`conf`	Adapting Fairness Interventions to Missing Values. NeurIPS Raymond Feng, Flávio P. Calmon, Hao Wang
2023	J	`jnl`	Adapting Fairness Interventions to Missing Values. CoRR Raymond Feng, Flávio P. Calmon, Hao Wang
2023	J	`jnl`	Aleatoric and Epistemic Discrimination in Classification. CoRR Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
2023	A*	`conf`	Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. NeurIPS Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
2023	J	`jnl`	Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
2023	—	`conf`	Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
2023	—	`conf`	Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
2023	J	`jnl`	Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
2023	J	`jnl`	Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility. IEEE Trans. Inf. Forensics Secur. Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
2023	B	`conf`	Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. ISIT Viveck R. Cadambe, Haewon Jeong, Flávio P. Calmon
2023	J	`jnl`	Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. CoRR Viveck R. Cadambe, Ateet Devulapalli, Haewon Jeong, Flávio P. Calmon
2023	J	`jnl`	Fair Machine Unlearning: Data Removal while Mitigating Disparities. CoRR Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Hima Lakkaraju
2023	A	`conf`	Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
2023	J	`jnl`	Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
2023	J	`jnl`	Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. Hao Wang, Rui Gao, Flávio P. Calmon
2023	A*	`conf`	Individual Arbitrariness and Group Fairness. NeurIPS Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
2023	J	`jnl`	Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami
2023	B	`conf`	On the Inevitability of the Rashomon Effect. ISIT Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz
2023	B	`conf`	Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
2023	B	`conf`	Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
2023	A*	`conf`	The Saddle-Point Method in Differential Privacy. ICML Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2022	J	`jnl`	Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon
2022	A*	`conf`	Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
2022	J	`jnl`	Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
2022	J	`jnl`	Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility. CoRR Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
2022	B	`conf`	Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	J	`jnl`	Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	B	`conf`	Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. ISIT Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2022	A*	`conf`	Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. AAAI Haewon Jeong, Hao Wang, Flávio P. Calmon
2022	J	`jnl`	Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2022	A*	`conf`	On the Epistemic Limits of Personalized Prediction. NeurIPS Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun, Flávio P. Calmon
2022	A*	`conf`	Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS Hsiang Hsu, Flávio P. Calmon
2022	J	`jnl`	The Saddle-Point Accountant for Differential Privacy. CoRR Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei
2021	A*	`conf`	Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
2021	A*	`conf`	CPR: Classifier-Projection Regularization for Continual Learning. ICLR Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon
2021	B	`conf`	Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür
2021	B	`conf`	E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. ISIT Viveck R. Cadambe, Flávio P. Calmon, Ateet Devulapalli, Haewon Jeong
2021	J	`jnl`	Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. CoRR Haewon Jeong, Hao Wang, Flávio P. Calmon
2021	J	`jnl`	Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
2021	J	`jnl`	Local Differential Privacy Is Equivalent to Contraction of E CoRR Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
2021	B	`conf`	Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
2021	J	`jnl`	Measuring Information from Moments. CoRR Wael Alghamdi, Flávio P. Calmon
2021	J	`jnl`	Optimized Score Transformation for Consistent Fair Classification. J. Mach. Learn. Res. Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon
2021	B	`conf`	Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. ISIT Wael Alghamdi, Flávio P. Calmon
2021	J	`jnl`	Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. CoRR Wael Alghamdi, Flávio P. Calmon
2021	Misc	`conf`	Predictive Coding for Lossless Dataset Compression. ICASSP Madeleine Barowsky, Alexander Mariona, Flávio P. Calmon
2021	J	`jnl`	Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. CoRR Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy
2021	Misc	`conf`	Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. ICASSP Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy
2021	B	`conf`	The Impact of Split Classifiers on Group Fairness. ISIT Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2021	J	`jnl`	Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2021	J	`jnl`	To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2021	J	`jnl`	ε-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. CoRR Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon
2021	J	`jnl`	ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication. IEEE J. Sel. Areas Inf. Theory Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon
2020	J	`jnl`	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	B	`conf`	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy Shahab Asoodeh, Flávio P. Calmon
2020	J	`jnl`	Bottleneck Problems: Information and Estimation-Theoretic View. CoRR Shahab Asoodeh, Flávio P. Calmon
2020	J	`jnl`	CPR: Classifier-Projection Regularization for Continual Learning. CoRR Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon
2020	—	`conf`	Maximal α-Leakage and its Properties. CNS Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
2020	B	`conf`	Model Projection: Theory and Applications to Fair Machine Learning. ISIT Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
2020	A	`conf`	Obfuscation via Information Density Estimation. AISTATS Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
2020	—	`conf`	On Perfect Obfuscation: Local Information Geometry Analysis. WIFS Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
2020	J	`jnl`	On Perfect Obfuscation: Local Information Geometry Analysis. CoRR Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
2020	J	`jnl`	On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
2020	A	`conf`	Optimized Score Transformation for Fair Classification. AISTATS Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon
2020	A*	`conf`	Predictive Multiplicity in Classification. ICML Charles T. Marx, Flávio P. Calmon, Berk Ustun
2020	B	`conf`	Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2020	J	`jnl`	Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2020	J	`jnl`	Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2020	Misc	`conf`	Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. ICASSP Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy
2020	J	`jnl`	Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups. CoRR Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy
2020	J	`jnl`	Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2019	B	`conf`	An Information-Theoretic View of Generalization via Wasserstein Distance. ISIT Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon
2019	A	`conf`	Correspondence Analysis Using Neural Networks. AISTATS Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2019	J	`jnl`	Correspondence Analysis Using Neural Networks. CoRR Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2019	B	`conf`	Information-Theoretic Privacy Watchdogs. ISIT Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
2019	B	`conf`	Mutual Information as a Function of Moments. ISIT Wael Alghamdi, Flávio P. Calmon
2019	J	`jnl`	Privacy With Estimation Guarantees. IEEE Trans. Inf. Theory Hao Wang, Lisa Vo, Flávio P. Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia
2019	A*	`conf`	Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. ICML Hao Wang, Berk Ustun, Flávio P. Calmon
2019	J	`jnl`	Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. CoRR Hao Wang, Berk Ustun, Flávio P. Calmon
2019	B	`conf`	Robustness of Maximal α-Leakage to Side Information. ISIT Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
2019	J	`jnl`	Robustness of Maximal α-Leakage to Side Information. CoRR Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
2018	B	`conf`	A Tunable Measure for Information Leakage. ISIT Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	A Tunable Measure for Information Leakage. CoRR Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	Correspondence Analysis of Government Expenditure Patterns. CoRR Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian
2018	J	`jnl`	Deep Orthogonal Representations: Fundamental Properties and Applications. CoRR Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2018	B	`conf`	Generalizing Bottleneck Problems. ISIT Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon
2018	J	`jnl`	Generalizing Bottleneck Problems. CoRR Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon
2018	B	`conf`	On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. ISIT Hao Wang, Berk Ustun, Flávio P. Calmon
2018	J	`jnl`	On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. CoRR Hao Wang, Berk Ustun, Flávio P. Calmon
2018	J	`jnl`	On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
2018	B	`conf`	Privacy Under Hard Distortion Constraints. ITW Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	Privacy Under Hard Distortion Constraints. CoRR Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	B	`conf`	The Utility Cost of Robust Privacy Guarantees. ISIT Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
2018	J	`jnl`	The Utility Cost of Robust Privacy Guarantees. CoRR Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
2017	—	`conf`	An estimation-theoretic view of privacy. Allerton Hao Wang, Flávio P. Calmon
2017	B	`conf`	Hypothesis testing under maximal leakage privacy constraints. ISIT Jiachun Liao, Lalitha Sankar, Flávio P. Calmon, Vincent Y. F. Tan
2017	—	`conf`	Optimized Pre-Processing for Discrimination Prevention. NIPS Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2016	A*	`conf`	Correcting Forecasts with Multifactor Neural Attention. ICML Matthew Riemer, Aditya Vempaty, Flávio P. Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri
2016	J	`jnl`	Hypothesis Testing in the High Privacy Limit. CoRR Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon
2016	—	`conf`	Hypothesis testing in the high privacy limit. Allerton Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon
2015	B	`conf`	Forgot your password: Correlation dilution. ISIT Ali Makhdoumi, Flávio P. Calmon, Muriel Médard
2015	B	`conf`	Fundamental limits of perfect privacy. ISIT Flávio P. Calmon, Ali Makhdoumi, Muriel Médard
2015	J	`jnl`	Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. CoRR Flávio P. Calmon, Yury Polyanskiy, Yihong Wu
2015	B	`conf`	Strong data processing inequalities in power-constrained Gaussian channels. ISIT Flávio P. Calmon, Yury Polyanskiy, Yihong Wu
2014	B	`conf`	An exploration of the role of principal inertia components in information theory. ITW Flávio P. Calmon, Mayank Varia, Muriel Médard
2014	—	`conf`	On information-theoretic metrics for symmetric-key encryption and privacy. Allerton Flávio P. Calmon, Mayank Varia, Muriel Médard
2013	—	`conf`	Bounds on inference. Allerton Flávio P. Calmon, Mayank Varia, Muriel Médard, Mark M. Christiansen, Ken R. Duffy, Stefano Tessaro