A General Exact Formulation for the Outage Probability in Interference-Limited Systems. - Flávio du Pin Calmon; Michel Daoud Yacoub (GLOBECOM, 2008)

MRCS – selecting maximal ratio combined signals: a practical hybrid diversity combining scheme. - Flávio du Pin Calmon; Michel Daoud Yacoub (IEEE Trans. Wirel. Commun., 2009)

Equivalent models for multi-terminal channels. - Flávio du Pin Calmon; Muriel Médard; Michelle Effros (ITW, 2011)

Privacy against statistical inference. - Flávio du Pin Calmon; Nadia Fawaz (Allerton Conference, 2012)

Lists that are smaller than their parts: A coding approach to tunable secrecy. - Flávio du Pin Calmon; Muriel Médard; Linda M. Zeger; João Barros; Mark M. Christiansen; Ken R. Duffy (Allerton Conference, 2012)

Speeding Multicast by Acknowledgment Reduction Technique (SMART) Enabling Robustness of QoE to the Number of Users. - Arman Rezaee; Flávio du Pin Calmon; Linda M. Zeger; Muriel Médard (IEEE J. Sel. Areas Commun., 2012)

Guessing a password over a wireless channel (on the effect of noise non-uniformity). - Mark M. Christiansen; Ken R. Duffy; Flávio du Pin Calmon; Muriel Médard (ACSSC, 2013)

Bounds on inference. - Flávio P. Calmon; Mayank Varia; Muriel Médard; Mark M. Christiansen; Ken R. Duffy; Stefano Tessaro (Allerton, 2013)

How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data. - Salman Salamatian; Amy Zhang 001; Flávio du Pin Calmon; Sandilya Bhamidipati; Nadia Fawaz; Branislav Kveton; Pedro Oliveira; Nina Taft (GlobalSIP, 2013)

Brute force searching, the typical set and Guesswork. - Mark M. Christiansen; Ken R. Duffy; Flávio du Pin Calmon; Muriel Médard (ISIT, 2013)

Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks. - Jason Cloud; Flávio du Pin Calmon; Weifei Zeng; Giovanni Pau 001; Linda M. Zeger; Muriel Médard (VTC Fall, 2013)

On information-theoretic metrics for symmetric-key encryption and privacy. - Flávio P. Calmon; Mayank Varia; Muriel Médard (Allerton, 2014)

An exploration of the role of principal inertia components in information theory. - Flávio P. Calmon; Mayank Varia; Muriel Médard (ITW, 2014)

Quantifying the computational security of multi-user systems. - Mark M. Christiansen; Ken R. Duffy; Flávio du Pin Calmon; Muriel Médard (CoRR, 2014)

Fundamental limits of perfect privacy. - Flávio P. Calmon; Ali Makhdoumi; Muriel Médard (ISIT, 2015)

Strong data processing inequalities in power-constrained Gaussian channels. - Flávio P. Calmon; Yury Polyanskiy; Yihong Wu 001 (ISIT, 2015)

Forgot your password: Correlation dilution. - Ali Makhdoumi; Flávio P. Calmon; Muriel Médard (ISIT, 2015)

Hiding Symbols and Functions: New Metrics and Constructions for Information-Theoretic Security. - Flávio du Pin Calmon; Muriel Médard; Mayank Varia; Ken R. Duffy; Mark M. Christiansen; Linda M. Zeger (CoRR, 2015)

Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy. - Salman Salamatian; Amy Zhang 001; Flávio du Pin Calmon; Sandilya Bhamidipati; Nadia Fawaz; Branislav Kveton; Pedro Oliveira; Nina Taft (IEEE J. Sel. Top. Signal Process., 2015)

Multi-User Guesswork and Brute Force Security. - Mark M. Christiansen; Ken R. Duffy; Flávio du Pin Calmon; Muriel Médard (IEEE Trans. Inf. Theory, 2015)

Information-theoretic metrics for security and privacy. - Flávio du Pin Calmon (2015)

Hypothesis testing in the high privacy limit. - Jiachun Liao; Lalitha Sankar; Vincent Y. F. Tan; Flávio P. Calmon (Allerton, 2016)

Correcting Forecasts with Multifactor Neural Attention. - Matthew Riemer; Aditya Vempaty; Flávio P. Calmon; Fenno F. Terry Heath III; Richard Hull 001; Elham Khabiri (ICML, 2016)

An estimation-theoretic view of privacy. - Hao Wang 063; Flávio P. Calmon (Allerton, 2017)

Hypothesis testing under maximal leakage privacy constraints. - Jiachun Liao; Lalitha Sankar; Flávio P. Calmon; Vincent Y. F. Tan (ISIT, 2017)

Optimized Pre-Processing for Discrimination Prevention. - Flávio P. Calmon; Dennis Wei; Bhanukiran Vinzamuri; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (NIPS, 2017)

Optimized Data Pre-Processing for Discrimination Prevention. - Flávio du Pin Calmon; Dennis Wei; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (CoRR, 2017)

Principal Inertia Components and Applications. - Flávio du Pin Calmon; Ali Makhdoumi; Muriel Médard; Mayank Varia; Mark M. Christiansen; Ken R. Duffy (IEEE Trans. Inf. Theory, 2017)

Mutual Outage Probability. - Flávio du Pin Calmon; Álvaro Augusto Machado de Medeiros; Michel Daoud Yacoub (IEEE Trans. Wirel. Commun., 2017)

Generalizing Bottleneck Problems. - Hsiang Hsu; Shahab Asoodeh; Salman Salamatian; Flávio P. Calmon (ISIT, 2018)

A Tunable Measure for Information Leakage. - Jiachun Liao; Oliver Kosut; Lalitha Sankar; Flávio P. Calmon (ISIT, 2018)

The Utility Cost of Robust Privacy Guarantees. - Hao Wang 063; Mario Díaz; Flávio P. Calmon; Lalitha Sankar (ISIT, 2018)

On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. - Hao Wang 063; Berk Ustun; Flávio P. Calmon (ISIT, 2018)

Privacy Under Hard Distortion Constraints. - Jiachun Liao; Oliver Kosut; Lalitha Sankar; Flávio P. Calmon (ITW, 2018)

Deep Orthogonal Representations: Fundamental Properties and Applications. - Hsiang Hsu; Salman Salamatian; Flávio P. Calmon (CoRR, 2018)

Correspondence Analysis of Government Expenditure Patterns. - Hsiang Hsu; Flávio P. Calmon; José Cândido Silveira Santos Filho; Andre P. Calmon; Salman Salamatian (CoRR, 2018)

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. - Flávio du Pin Calmon; Dennis Wei; Bhanukiran Vinzamuri; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (IEEE J. Sel. Top. Signal Process., 2018)

Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. - Jiachun Liao; Lalitha Sankar; Vincent Y. F. Tan; Flávio du Pin Calmon (IEEE Trans. Inf. Forensics Secur., 2018)

Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. - Flávio du Pin Calmon; Yury Polyanskiy; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2018)

Correspondence Analysis Using Neural Networks. - Hsiang Hsu; Salman Salamatian; Flávio P. Calmon (AISTATS, 2019)

Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. - Hao Wang 063; Berk Ustun; Flávio P. Calmon (ICML, 2019)

Mutual Information as a Function of Moments. - Wael Alghamdi; Flávio P. Calmon (ISIT, 2019)

Information-Theoretic Privacy Watchdogs. - Hsiang Hsu; Shahab Asoodeh; Flávio P. Calmon (ISIT, 2019)

Robustness of Maximal α-Leakage to Side Information. - Jiachun Liao; Lalitha Sankar; Oliver Kosut; Flávio P. Calmon (ISIT, 2019)

An Information-Theoretic View of Generalization via Wasserstein Distance. - Hao Wang 063; Mario Díaz; José Cândido Silveira Santos Filho; Flávio P. Calmon (ISIT, 2019)

Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. - Jiachun Liao; Oliver Kosut; Lalitha Sankar; Flávio du Pin Calmon (IEEE Trans. Inf. Theory, 2019)

Privacy With Estimation Guarantees. - Hao Wang 063; Lisa Vo; Flávio P. Calmon; Muriel Médard; Ken R. Duffy; Mayank Varia (IEEE Trans. Inf. Theory, 2019)

Obfuscation via Information Density Estimation. - Hsiang Hsu; Shahab Asoodeh; Flávio P. Calmon (AISTATS, 2020)

Optimized Score Transformation for Fair Classification. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Flávio P. Calmon (AISTATS, 2020)

Maximal α-Leakage and its Properties. - Jiachun Liao; Lalitha Sankar; Oliver Kosut; Flávio P. Calmon (CNS, 2020)

Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. - Sohrab Ferdowsi; Behrooz Razeghi; Taras Holotyak; Flávio P. Calmon; Slava Voloshynovskiy (ICASSP, 2020)

High-SNR Performance in Gaussian-Class Fading. - Francisco Raimundo Albuquerque Parente; Flávio du Pin Calmon; José Cândido Silveira Santos Filho (ICC, 2020)

Predictive Multiplicity in Classification. - Charles T. Marx; Flávio P. Calmon; Berk Ustun (ICML, 2020)

Model Projection: Theory and Applications to Fair Machine Learning. - Wael Alghamdi; Shahab Asoodeh; Hao Wang 063; Flávio P. Calmon; Dennis Wei; Karthikeyan Natesan Ramamurthy (ISIT, 2020)

Privacy Amplification of Iterative Algorithms via Contraction Coefficients. - Shahab Asoodeh; Mario Díaz; Flávio P. Calmon (ISIT, 2020)

A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. - Shahab Asoodeh; Jiachun Liao; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ISIT, 2020)

On Perfect Obfuscation: Local Information Geometry Analysis. - Behrooz Razeghi; Flávio P. Calmon; Deniz Gündüz; Slava Voloshynovskiy (WIFS, 2020)

CPR: Classifier-Projection Regularization for Continual Learning. - Sungmin Cha; Hsiang Hsu; Flávio P. Calmon; Taesup Moon (CoRR, 2020)

Differentially Private Mechanisms for Count Queries. - Parastoo Sadeghi; Shahab Asoodeh; Flávio du Pin Calmon (CoRR, 2020)

Bottleneck Problems: Information and Estimation-Theoretic View. - Shahab Asoodeh; Flávio P. Calmon (CoRR, 2020)

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. - Shahab Asoodeh; Mario Díaz; Flávio P. Calmon (CoRR, 2020)

Bottleneck Problems: An Information and Estimation-Theoretic View. - Shahab Asoodeh; Flávio P. Calmon (Entropy, 2020)

On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. - Mario Díaz; Hao Wang 063; Flávio P. Calmon; Lalitha Sankar (IEEE Trans. Inf. Theory, 2020)

Predictive Coding for Lossless Dataset Compression. - Madeleine Barowsky; Alexander Mariona; Flávio P. Calmon (ICASSP, 2021)

Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. - Behrooz Razeghi; Sohrab Ferdowsi; Dimche Kostadinov; Flávio P. Calmon; Slava Voloshynovskiy (ICASSP, 2021)

CPR: Classifier-Projection Regularization for Continual Learning. - Sungmin Cha; Hsiang Hsu; Taebaek Hwang; Flávio P. Calmon; Taesup Moon (ICLR, 2021)

The Impact of Split Classifiers on Group Fairness. - Hao Wang 063; Hsiang Hsu; Mario Díaz; Flávio P. Calmon (ISIT, 2021)

Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. - Wael Alghamdi; Flávio P. Calmon (ISIT, 2021)

Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. - Shahab Asoodeh; Maryam Aliakbarpour; Flávio P. Calmon (ISIT, 2021)

Differentially Private Federated Learning: An Information-Theoretic Perspective. - Shahab Asoodeh; Wei-Ning Chen; Flávio P. Calmon; Ayfer Özgür (ISIT, 2021)

E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. - Viveck R. Cadambe; Flávio P. Calmon; Ateet Devulapalli; Haewon Jeong (ISIT, 2021)

Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. - Hao Wang 063; Yizhe Huang; Rui Gao 001; Flávio P. Calmon (NeurIPS, 2021)

Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. - Shahab Asoodeh; Maryam Aliakbarpour; Flávio P. Calmon (CoRR, 2021)

Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. - Hao Wang 063; Yizhe Huang; Rui Gao 001; Flávio P. Calmon (CoRR, 2021)

Optimized Score Transformation for Consistent Fair Classification. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Flávio P. Calmon (J. Mach. Learn. Res., 2021)

Three Variants of Differential Privacy: Lossless Conversion and Applications. - Shahab Asoodeh; Jiachun Liao; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (IEEE J. Sel. Areas Inf. Theory, 2021)

ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication. - Haewon Jeong; Ateet Devulapalli; Viveck R. Cadambe; Flávio P. Calmon (IEEE J. Sel. Areas Inf. Theory, 2021)

To Split or not to Split: The Impact of Disparate Treatment in Classification. - Hao Wang 063; Hsiang Hsu; Mario Díaz; Flávio P. Calmon (IEEE Trans. Inf. Theory, 2021)

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. - Haewon Jeong; Hao Wang 063; Flávio P. Calmon (AAAI, 2022)

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar; Fei Wei (ISIT, 2022)

Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. - Ateet Devulapalli; Viveck R. Cadambe; Flávio P. Calmon; Haewon Jeong (ISIT, 2022)

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. - Wael Alghamdi; Hsiang Hsu; Haewon Jeong; Hao Wang 063; Peter Michalák; Shahab Asoodeh; Flávio P. Calmon (NeurIPS, 2022)

Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. - Hsiang Hsu; Flávio P. Calmon (NeurIPS, 2022)

On the Epistemic Limits of Personalized Prediction. - Lucas Monteiro Paes; Carol Xuan Long; Berk Ustun; Flávio P. Calmon (NeurIPS, 2022)

Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification. - Hsiang Hsu; Flávio du Pin Calmon (CoRR, 2022)

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. - Wael Alghamdi; Hsiang Hsu; Haewon Jeong; Hao Wang 063; P. Winston Michalak; Shahab Asoodeh; Flávio P. Calmon (CoRR, 2022)

The Saddle-Point Accountant for Differential Privacy. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar; Fei Wei (CoRR, 2022)

Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. - Marguerite B. Basta; Sarfaraz Hussein; Hsiang Hsu; Flávio P. Calmon (CoRR, 2022)

Generalizing Correspondence Analysis for Applications in Machine Learning. - Hsiang Hsu; Salman Salamatian; Flávio P. Calmon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. - Bogdan Kulynych; Hsiang Hsu; Carmela Troncoso; Flávio P. Calmon (EWAF, 2023)

The Saddle-Point Method in Differential Privacy. - Wael Alghamdi; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ICML, 2023)

Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. - Haitong Ma; Tianpeng Zhang; Yixuan Wu; Flávio P. Calmon; Na Li 002 (IROS, 2023)

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. - Viveck R. Cadambe; Haewon Jeong; Flávio P. Calmon (ISIT, 2023)

On the Inevitability of the Rashomon Effect. - Lucas Monteiro Paes; Rodrigo Cruz; Flávio P. Calmon; Mario Díaz (ISIT, 2023)

Adapting Fairness Interventions to Missing Values. - Raymond Feng; Flávio P. Calmon; Hao Wang 063 (NeurIPS, 2023)

Individual Arbitrariness and Group Fairness. - Carol Xuan Long; Hsiang Hsu; Wael Alghamdi; Flávio P. Calmon (NeurIPS, 2023)

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. - Hao Wang 063; Luxi He; Rui Gao 001; Flávio P. Calmon (NeurIPS, 2023)

Aleatoric and Epistemic Discrimination in Classification. - Hao Wang 063; Luxi He; Rui Gao 001; Flávio P. Calmon (CoRR, 2023)

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. - Carol Xuan Long; Hsiang Hsu; Wael Alghamdi; Flávio P. Calmon (CoRR, 2023)

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. - Viveck R. Cadambe; Ateet Devulapalli; Haewon Jeong; Flávio P. Calmon (CoRR, 2023)

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. - Hao Wang 063; Rui Gao 001; Flávio P. Calmon (J. Mach. Learn. Res., 2023)

Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility. - Behrooz Razeghi; Flávio P. Calmon; Deniz Gündüz; Slava Voloshynovskiy (IEEE Trans. Inf. Forensics Secur., 2023)

Unified Framework for Diversity and Coding Gains Over a Broad Gaussian Class of Fading Channels. - Francisco Raimundo Albuquerque Parente; Flávio du Pin Calmon; José Cândido Silveira Santos Filho (IEEE Trans. Veh. Technol., 2023)

Fair Machine Unlearning: Data Removal while Mitigating Disparities. - Alex Oesterling; Jiaqi Ma 004; Flávio P. Calmon; Himabindu Lakkaraju (AISTATS, 2024)

Algorithmic Arbitrariness in Content Moderation. - Juan Felipe Gómez; Caio Vieira Machado; Lucas Monteiro Paes; Flávio P. Calmon (FAccT, 2024)

Differential-Privacy Capacity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ISIT, 2024)

Private Approximate Nearest Neighbor Search for Vector Database Querying. - Sajani Vithana; Martina Cardone; Flávio P. Calmon (ISIT, 2024)

$ mathrm{E}_{ gamma}$-Mixing Time. - Behnoosh Zamanlooy; Shahab Asoodeh; Mario Díaz; Flávio P. Calmon (ISIT, 2024)

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). - Usha Bhalla; Alex Oesterling; Suraj Srinivas; Flávio P. Calmon; Himabindu Lakkaraju (NeurIPS, 2024)

Attack-Aware Noise Calibration for Differential Privacy. - Bogdan Kulynych; Juan Felipe Gómez; Georgios Kaissis; Flávio P. Calmon; Carmela Troncoso (NeurIPS, 2024)

Multi-Group Proportional Representation in Retrieval. - Alex Oesterling; Claudio Mayrink Verdun; Alexander Glynn; Carol Xuan Long; Lucas Monteiro Paes; Sajani Vithana; Martina Cardone; Flávio P. Calmon (NeurIPS, 2024)

Selective Explanations. - Lucas Monteiro Paes; Dennis Wei; Flávio P. Calmon (NeurIPS, 2024)

Predictive Churn with the Set of Good Models. - Jamelle Watson-Daniels; Flávio du Pin Calmon; Alexander D'Amour; Carol Xuan Long; David C. Parkes; Berk Ustun (CoRR, 2024)

Multi-Group Proportional Representation. - Alex Oesterling; Claudio Mayrink Verdun; Carol Xuan Long; Alexander Glynn; Lucas Monteiro Paes; Sajani Vithana; Martina Cardone; Flávio P. Calmon (CoRR, 2024)

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. - Lucas Monteiro Paes; Ananda Theertha Suresh; Alex Beutel; Flávio P. Calmon; Ahmad Beirami (IEEE J. Sel. Areas Inf. Theory, 2024)

Measuring Information From Moments. - Wael Alghamdi; Flávio P. Calmon (IEEE Trans. Inf. Theory, 2024)

Multi-Group Proportional Representations for Text-to-Image Models. - Sangwon Jung; Alex Oesterling; Claudio Mayrink Verdun; Sajani Vithana; Taesup Moon; Flávio P. Calmon (CVPR, 2025)

AI Alignment at Your Discretion. - Maarten Buyl; Hadi Khalaf; Claudio Mayrink Verdun; Lucas Monteiro Paes; Caio Cesar Vieira Machado; Flávio du Pin Calmon (FAccT, 2025)

Debiasing Functions of Private Statistics in Postprocessing. - Flávio P. Calmon; Elbert Du; Cynthia Dwork; Brian Finley; Grigory Franguridi (FORC, 2025)

Kernel Multiaccuracy. - Carol Xuan Long; Wael Alghamdi; Alexander Glynn; Yixuan Wu; Flávio P. Calmon (FORC, 2025)

Regretful Decisions under Label Noise. - Sujay Nagaraj; Yang Liu 018; Flávio P. Calmon; Berk Ustun (ICLR, 2025)

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. - Sajani Vithana; Viveck R. Cadambe; Flávio P. Calmon; Haewon Jeong (SaTML, 2025)

A Broad Gaussian Class of Power Sums Are Gamma Mixtures. - Fernando Darío Almeida García; Francisco Raimundo Albuquerque Parente; Flávio du Pin Calmon; José Cândido Silveira Santos Filho (IEEE Trans. Wirel. Commun., 2025)

Optimal Additive Noise Mechanisms for Differential Privacy. - Atefeh Gilani; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (CoRR, 2025)

Soft Best-of-n Sampling for Model Alignment. - Claudio Mayrink Verdun; Alex Oesterling; Himabindu Lakkaraju; Flávio P. Calmon (CoRR, 2025)

Optimized Couplings for Watermarking Large Language Models. - Dor Tsur; Carol Xuan Long; Claudio Mayrink Verdun; Hsiang Hsu; Haim H. Permuter; Flávio P. Calmon (CoRR, 2025)

Multi-Group Proportional Representation for Text-to-Image Models. - Sangwon Jung; Alex Oesterling; Claudio Mayrink Verdun; Sajani Vithana; Taesup Moon; Flávio P. Calmon (CoRR, 2025)

HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions. - Dor Tsur; Carol Xuan Long; Claudio Mayrink Verdun; Hsiang Hsu; Chen-Fu Chen; Haim H. Permuter; Sajani Vithana; Flávio P. Calmon (CoRR, 2025)

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor. - Alexandra Olteanu; Su Lin Blodgett; Agathe Balayn; Angelina Wang; Fernando Diaz 001; Flávio du Pin Calmon; Margaret Mitchell; Michael D. Ekstrand; Reuben Binns; Solon Barocas (CoRR, 2025)

Inference-Time Reward Hacking in Large Language Models. - Hadi Khalaf; Claudio Mayrink Verdun; Alex Oesterling; Himabindu Lakkaraju; Flávio du Pin Calmon (CoRR, 2025)

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy. - Bogdan Kulynych; Juan Felipe Gómez; Georgios Kaissis; Jamie Hayes; Borja Balle; Flávio P. Calmon; Jean Louis Raisaro (CoRR, 2025)