Flávio P. Calmon

IEEE Trans. Inf. Theory, February, 2024

Multi-Group Proportional Representation.

[BibT_eX]

[DOI]

Alex Oesterling

Claudio Mayrink Verdun

CoRR, 2024

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Attack-Aware Noise Calibration for Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2024

Selective Explanations.

[BibT_eX]

[DOI]

Lucas Monteiro Paes

CoRR, 2024

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).

[BibT_eX]

[DOI]

CoRR, 2024

Predictive Churn with the Set of Good Models.

[BibT_eX]

[DOI]

Jamelle Watson-Daniels

CoRR, 2024

$\mathrm{E}_{\gamma}$-Mixing Time.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Private Approximate Nearest Neighbor Search for Vector Database Querying.

[BibT_eX]

[DOI]

Sajani Vithana

Martina Cardone

Francisco Raimundo Albuquerque Parente

Proceedings of the IEEE International Symposium on Information Theory, 2024

Differential-Privacy Capacity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Algorithmic Arbitrariness in Content Moderation.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Fair Machine Unlearning: Data Removal while Mitigating Disparities.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Unified Framework for Diversity and Coding Gains Over a Broad Gaussian Class of Fading Channels.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., December, 2023

Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels.

[BibT_eX]

[DOI]

Rui Gao

J. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

Lucas Monteiro Paes

Ananda Theertha Suresh

Alex Beutel

Ahmad Beirami

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier.

[BibT_eX]

[DOI]

CoRR, 2023

Adapting Fairness Interventions to Missing Values.

[BibT_eX]

[DOI]

Raymond Feng

CoRR, 2023

Aleatoric and Epistemic Discrimination in Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Individual Arbitrariness and Group Fairness.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

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

[BibT_eX]

[DOI]

Viveck R. Cadambe

Haewon Jeong

Proceedings of the IEEE International Symposium on Information Theory, 2023

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

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

[BibT_eX]

[DOI]

IROS, 2023

The Saddle-Point Method in Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Arbitrary Decisions Are a Hidden Cost of Differentially Private Training.

[BibT_eX]

[DOI]

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Generalizing Correspondence Analysis for Applications in Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

The Saddle-Point Accountant for Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

On the Epistemic Limits of Personalized Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.

[BibT_eX]

[DOI]

Haewon Jeong

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.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

Three Variants of Differential Privacy: Lossless Conversion and Applications.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

Optimized Score Transformation for Consistent Fair Classification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Maryam Aliakbarpour

CoRR, 2021

Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Differentially Private Federated Learning: An Information-Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence.

[BibT_eX]

[DOI]

Maryam Aliakbarpour

Proceedings of the IEEE International Symposium on Information Theory, 2021

Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels.

[BibT_eX]

[DOI]

Wael Alghamdi

Proceedings of the IEEE International Symposium on Information Theory, 2021

The Impact of Split Classifiers on Group Fairness.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

CPR: Classifier-Projection Regularization for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Predictive Coding for Lossless Dataset Compression.

[BibT_eX]

[DOI]

Madeleine Barowsky

Alexander Mariona

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

On the Robustness of Information-Theoretic Privacy Measures and Mechanisms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Bottleneck Problems: An Information and Estimation-Theoretic View.

[BibT_eX]

[DOI]

Entropy, 2020

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients.

[BibT_eX]

[DOI]

Mario Díaz

CoRR, 2020

Bottleneck Problems: Information and Estimation-Theoretic View.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially Private Mechanisms for Count Queries.

[BibT_eX]

[DOI]

Parastoo Sadeghi

CoRR, 2020

CPR: Classifier-Projection Regularization for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

On Perfect Obfuscation: Local Information Geometry Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Privacy Amplification of Iterative Algorithms via Contraction Coefficients.

[BibT_eX]

[DOI]

Mario Díaz

Proceedings of the IEEE International Symposium on Information Theory, 2020

Model Projection: Theory and Applications to Fair Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Predictive Multiplicity in Classification.

[BibT_eX]

[DOI]

Charles T. Marx

Francisco Raimundo Albuquerque Parente

Berk Ustun

Proceedings of the 37th International Conference on Machine Learning, 2020

High-SNR Performance in Gaussian-Class Fading.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Maximal α-Leakage and its Properties.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

Optimized Score Transformation for Fair Classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Obfuscation via Information Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Privacy With Estimation Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

An Information-Theoretic View of Generalization via Wasserstein Distance.

[BibT_eX]

[DOI]

Mario Díaz

Proceedings of the IEEE International Symposium on Information Theory, 2019

Robustness of Maximal α-Leakage to Side Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Information-Theoretic Privacy Watchdogs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Mutual Information as a Function of Moments.

[BibT_eX]

[DOI]

Wael Alghamdi

Proceedings of the IEEE International Symposium on Information Theory, 2019

Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions.

[BibT_eX]

[DOI]

Berk Ustun

Proceedings of the 36th International Conference on Machine Learning, 2019

Correspondence Analysis Using Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Strong Data Processing Inequalities for Input Constrained Additive Noise Channels.

[BibT_eX]

[DOI]

Yury Polyanskiy

Yihong Wu

IEEE Trans. Inf. Theory, 2018

Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2018

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis.

[BibT_eX]

[DOI]

Bhanukiran Vinzamuri

Kush R. Varshney

IEEE J. Sel. Top. Signal Process., 2018

Correspondence Analysis of Government Expenditure Patterns.

[BibT_eX]

[DOI]

Andre P. Calmon

CoRR, 2018

Deep Orthogonal Representations: Fundamental Properties and Applications.

[BibT_eX]

[DOI]

CoRR, 2018

Privacy Under Hard Distortion Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning.

[BibT_eX]

[DOI]

Berk Ustun

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

The Utility Cost of Robust Privacy Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

A Tunable Measure for Information Leakage.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Generalizing Bottleneck Problems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Mutual Outage Probability.

[BibT_eX]

[DOI]

Álvaro Augusto Machado de Medeiros

Michel Daoud Yacoub

IEEE Trans. Wirel. Commun., 2017

Principal Inertia Components and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Optimized Data Pre-Processing for Discrimination Prevention.

[BibT_eX]

[DOI]

Kush R. Varshney

CoRR, 2017

Optimized Pre-Processing for Discrimination Prevention.

[BibT_eX]

[DOI]

Bhanukiran Vinzamuri

Kush R. Varshney

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

An estimation-theoretic view of privacy.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Correcting Forecasts with Multifactor Neural Attention.

[BibT_eX]

[DOI]

Matthew Riemer

Aditya Vempaty

Fenno F. Terry Heath III

Richard Hull

Elham Khabiri

Proceedings of the 33nd International Conference on Machine Learning, 2016

Hypothesis testing in the high privacy limit.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Information-theoretic metrics for security and privacy.

[BibT_eX]

[DOI]

PhD thesis, 2015

Multi-User Guesswork and Brute Force Security.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Forgot your password: Correlation dilution.

[BibT_eX]

[DOI]

Ali Makhdoumi

Proceedings of the IEEE International Symposium on Information Theory, 2015

Strong data processing inequalities in power-constrained Gaussian channels.

[BibT_eX]

[DOI]

Yury Polyanskiy

Yihong Wu

Proceedings of the IEEE International Symposium on Information Theory, 2015

Fundamental limits of perfect privacy.

[BibT_eX]

[DOI]

Ali Makhdoumi

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Quantifying the computational security of multi-user systems.

[BibT_eX]

[DOI]

CoRR, 2014

An exploration of the role of principal inertia components in information theory.

[BibT_eX]

[DOI]

Mayank Varia

Proceedings of the 2014 IEEE Information Theory Workshop, 2014

On information-theoretic metrics for symmetric-key encryption and privacy.

[BibT_eX]

[DOI]

Mayank Varia

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the 78th IEEE Vehicular Technology Conference, 2013

Brute force searching, the typical set and Guesswork.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Bounds on inference.

[BibT_eX]

[DOI]

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

Guessing a password over a wireless channel (on the effect of noise non-uniformity).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2012

Lists that are smaller than their parts: A coding approach to tunable secrecy.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Privacy against statistical inference.

[BibT_eX]

[DOI]

Nadia Fawaz

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Equivalent models for multi-terminal channels.

[BibT_eX]

[DOI]

Michelle Effros

Proceedings of the 2011 IEEE Information Theory Workshop, 2011

2009

MRCS -- selecting maximal ratio combined signals: a practical hybrid diversity combining scheme.

[BibT_eX]

[DOI]

Michel Daoud Yacoub

IEEE Trans. Wirel. Commun., 2009

2008

A General Exact Formulation for the Outage Probability in Interference-Limited Systems.

[BibT_eX]

[DOI]