Flávio P. Calmon

Orcid: 0000-0002-7493-1428

Affiliations:
  • Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
  • IBM T. J. Watson Research Center, Yorktown, NY, USA
  • Massachusetts Institute of Technology (MIT), Electrical Engineering and Computer Science Department, Cambridge, MA, USA


According to our database1, Flávio P. Calmon authored at least 111 papers between 2008 and 2024.

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Bibliography

2024
Measuring Information From Moments.
IEEE Trans. Inf. Theory, February, 2024

Algorithmic Arbitrariness in Content Moderation.
CoRR, 2024

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).
CoRR, 2024

Predictive Churn with the Set of Good Models.
CoRR, 2024

2023
Unified Framework for Diversity and Coding Gains Over a Broad Gaussian Class of Fading Channels.
IEEE Trans. Veh. Technol., December, 2023

Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility.
IEEE Trans. Inf. Forensics Secur., 2023

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels.
J. Mach. Learn. Res., 2023

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing.
CoRR, 2023

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise.
CoRR, 2023

Fair Machine Unlearning: Data Removal while Mitigating Disparities.
CoRR, 2023

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier.
CoRR, 2023

Adapting Fairness Interventions to Missing Values.
CoRR, 2023

Aleatoric and Epistemic Discrimination in Classification.
CoRR, 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Individual Arbitrariness and Group Fairness.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Inevitability of the Rashomon Effect.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization.
IROS, 2023

The Saddle-Point Method in Differential Privacy.
Proceedings of the International Conference on Machine Learning, 2023

Arbitrary Decisions Are a Hidden Cost of Differentially Private Training.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022
Generalizing Correspondence Analysis for Applications in Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks.
CoRR, 2022

The Saddle-Point Accountant for Differential Privacy.
CoRR, 2022

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction.
CoRR, 2022

Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification.
CoRR, 2022

On the Epistemic Limits of Personalized Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rashomon Capacity: A Metric for Predictive Multiplicity in Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
To Split or not to Split: The Impact of Disparate Treatment in Classification.
IEEE Trans. Inf. Theory, 2021

ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication.
IEEE J. Sel. Areas Inf. Theory, 2021

Three Variants of Differential Privacy: Lossless Conversion and Applications.
IEEE J. Sel. Areas Inf. Theory, 2021

Optimized Score Transformation for Consistent Fair Classification.
J. Mach. Learn. Res., 2021

Learning While Dissipating Information: Understanding the Generalization Capability of SGLD.
CoRR, 2021

Local Differential Privacy Is Equivalent to Contraction of E<sub>γ</sub>-Divergence.
CoRR, 2021

Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Differentially Private Federated Learning: An Information-Theoretic Perspective.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2021

The Impact of Split Classifiers on Group Fairness.
Proceedings of the IEEE International Symposium on Information Theory, 2021

CPR: Classifier-Projection Regularization for Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Predictive Coding for Lossless Dataset Compression.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms.
IEEE Trans. Inf. Theory, 2020

Bottleneck Problems: An Information and Estimation-Theoretic View.
Entropy, 2020

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients.
CoRR, 2020

Bottleneck Problems: Information and Estimation-Theoretic View.
CoRR, 2020

Differentially Private Mechanisms for Count Queries.
CoRR, 2020

CPR: Classifier-Projection Regularization for Continual Learning.
CoRR, 2020

On Perfect Obfuscation: Local Information Geometry Analysis.
Proceedings of the 12th IEEE International Workshop on Information Forensics and Security, 2020

A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Privacy Amplification of Iterative Algorithms via Contraction Coefficients.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Model Projection: Theory and Applications to Fair Machine Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Predictive Multiplicity in Classification.
Proceedings of the 37th International Conference on Machine Learning, 2020

High-SNR Performance in Gaussian-Class Fading.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Maximal α-Leakage and its Properties.
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

Optimized Score Transformation for Fair Classification.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Obfuscation via Information Density Estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Privacy With Estimation Guarantees.
IEEE Trans. Inf. Theory, 2019

Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs.
IEEE Trans. Inf. Theory, 2019

An Information-Theoretic View of Generalization via Wasserstein Distance.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Robustness of Maximal α-Leakage to Side Information.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Information-Theoretic Privacy Watchdogs.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Mutual Information as a Function of Moments.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Correspondence Analysis Using Neural Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Strong Data Processing Inequalities for Input Constrained Additive Noise Channels.
IEEE Trans. Inf. Theory, 2018

Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime.
IEEE Trans. Inf. Forensics Secur., 2018

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis.
IEEE J. Sel. Top. Signal Process., 2018

Correspondence Analysis of Government Expenditure Patterns.
CoRR, 2018

Deep Orthogonal Representations: Fundamental Properties and Applications.
CoRR, 2018

Privacy Under Hard Distortion Constraints.
Proceedings of the IEEE Information Theory Workshop, 2018

On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

The Utility Cost of Robust Privacy Guarantees.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

A Tunable Measure for Information Leakage.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Generalizing Bottleneck Problems.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Mutual Outage Probability.
IEEE Trans. Wirel. Commun., 2017

Principal Inertia Components and Applications.
IEEE Trans. Inf. Theory, 2017

Optimized Data Pre-Processing for Discrimination Prevention.
CoRR, 2017

Optimized Pre-Processing for Discrimination Prevention.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hypothesis testing under maximal leakage privacy constraints.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

An estimation-theoretic view of privacy.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Correcting Forecasts with Multifactor Neural Attention.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Hypothesis testing in the high privacy limit.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Information-theoretic metrics for security and privacy.
PhD thesis, 2015

Multi-User Guesswork and Brute Force Security.
IEEE Trans. Inf. Theory, 2015

Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy.
IEEE J. Sel. Top. Signal Process., 2015

Hiding Symbols and Functions: New Metrics and Constructions for Information-Theoretic Security.
CoRR, 2015

Forgot your password: Correlation dilution.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Strong data processing inequalities in power-constrained Gaussian channels.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Fundamental limits of perfect privacy.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Quantifying the computational security of multi-user systems.
CoRR, 2014

An exploration of the role of principal inertia components in information theory.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

On information-theoretic metrics for symmetric-key encryption and privacy.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks.
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013

Brute force searching, the typical set and Guesswork.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Bounds on inference.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Guessing a password over a wireless channel (on the effect of noise non-uniformity).
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Speeding Multicast by Acknowledgment Reduction Technique (SMART) Enabling Robustness of QoE to the Number of Users.
IEEE J. Sel. Areas Commun., 2012

Lists that are smaller than their parts: A coding approach to tunable secrecy.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Privacy against statistical inference.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Equivalent models for multi-terminal channels.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

2009
MRCS -- selecting maximal ratio combined signals: a practical hybrid diversity combining scheme.
IEEE Trans. Wirel. Commun., 2009

2008
A General Exact Formulation for the Outage Probability in Interference-Limited Systems.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008


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