Pablo Piantanida

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 189

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ITW

Publications

Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia
On the incompatibility of accuracy and equal opportunity. Mach. Learn. 113 (5) (2024)
Lautaro Estienne, Roberta Hansen, Matías Vera, Luciana Ferrer, Pablo Piantanida
On the Convergence of Semi Unsupervised Calibration through Prior Adaptation Algorithm. CoRR (2024)
Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie Chi Kit Cheung
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. ACL (1) (2024)
Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. CoRR (2024)
Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. ICLR (2024)
Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection. Trans. Mach. Learn. Res. 2024 (2024)
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. AAAI (2024)
Corentin Presvôts, Michel Kieffer, Thibault Prevost, Patrick Panciatici, Zuxing Li, Pablo Piantanida
Two-stage Multiple-Model Compression Approach for Sampled Electrical Signals. DCC (2024)
Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed
Is Meta-training Really Necessary for Molecular Few-Shot Learning ? CoRR (2024)
Eduardo Dadalto, Florence Alberge, Pierre Duhamel, Pablo Piantanida
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection. CoRR (2024)
Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida
Preserving Privacy in GANs Against Membership Inference Attack. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Federica Granese, Marco Romanelli, Pablo Piantanida
Optimal Zero-Shot Detector for Multi-Armed Attacks. AISTATS (2024)
Federica Granese, Marco Romanelli, Pablo Piantanida
Optimal Zero-Shot Detector for Multi-Armed Attacks. CoRR (2024)
Andrés Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida
Beyond the Norms: Detecting Prediction Errors in Regression Models. CoRR (2024)
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida
When is an Embedding Model More Promising than Another? CoRR (2024)
Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. CoRR (2024)
Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. ACL (1) (2024)
Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie CK Cheung
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. CoRR (2024)
Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR (2023)
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie CK Cheung, Pablo Piantanida, Pierre Colombo
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection. CoRR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP (2023)
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. IJCNLP (Findings) (2023)
Matías Vera, Leonardo Rey Vega, Pablo Piantanida
The role of mutual information in variational classifiers. Mach. Learn. 112 (9) (2023)
Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection. CoRR (2023)
Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida
Fundamental Limits of Membership Inference Attacks on Machine Learning Models. CoRR (2023)
Eduardo Dadalto, Marco Romanelli, Georg Pichler, Pablo Piantanida
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. CoRR (2023)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. IJCNLP (Findings) (2023)
Maxime Darrin, Pablo Piantanida, Pierre Colombo
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. EMNLP (2023)
Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida
Bounding information leakage in machine learning. Neurocomputing 534 (2023)
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. ACL (1) (2023)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
Toward Stronger Textual Attack Detectors. EMNLP (Findings) (2023)
Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Trans. Mach. Learn. Res. 2023 (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR (2023)
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper). ICTCS (2023)
Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida
Preserving Privacy in GANs Against Membership Inference Attack. CoRR (2023)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification. CoRR (2023)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
Toward Stronger Textual Attack Detectors. CoRR (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR (2023)
Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
On the (Im)Possibility of Estimating Various Notions of Differential Privacy. CoRR (2022)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed
Model-Agnostic Few-Shot Open-Set Recognition. CoRR (2022)
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. CoRR (2022)
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Beyond Mahalanobis-Based Scores for Textual OOD Detection. CoRR (2022)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
A Data-Driven Quantization Design for Distributed Testing Against Independence with Communication Constraints. ICASSP (2022)
Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida
Leveraging Adversarial Examples to Quantify Membership Information Leakage. CoRR (2022)
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau
Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning. IEEE Internet Things J. 9 (22) (2022)
Matías Vera, Leonardo Rey Vega, Pablo Piantanida
Information flow in Deep Restricted Boltzmann Machines: An analysis of mutual information between inputs and outputs. Neurocomputing 507 (2022)
Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida
Igeood: An Information Geometry Approach to Out-of-Distribution Detection. ICLR (2022)
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Realistic Evaluation of Transductive Few-Shot Learning. CoRR (2022)
Jorge F. Silva, Pablo Piantanida
On Universal D-Semifaithful Coding for Memoryless Sources With Infinite Alphabets. IEEE Trans. Inf. Theory 68 (4) (2022)
Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. CoRR (2022)
Georg Pichler, Marco Romanelli, Leonardo Rey Vega, Pablo Piantanida
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning. CoRR (2022)
Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
A Differential Entropy Estimator for Training Neural Networks. ICML (2022)
Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. AAAI (2022)
Maxime Darrin, Pablo Piantanida, Pierre Colombo
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data. CoRR (2022)
Kai Wan, Daniela Tuninetti, Mingyue Ji, Pablo Piantanida
Combination Networks With End-User-Caches: Novel Achievable and Converse Bounds Under Uncoded Cache Placement. IEEE Trans. Inf. Theory 68 (2) (2022)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Learning Disentangled Textual Representations via Statistical Measures of Similarity. CoRR (2022)
Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR (2022)
Marine Picot, Francisco Javier Messina, Fabrice Labeau, Pablo Piantanida
Robust Autoencoder-based State Estimation in Power Systems. ISGT (2022)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Learning Disentangled Textual Representations via Statistical Measures of Similarity. ACL (1) (2022)
Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida
Leveraging Adversarial Examples to Quantify Membership Information Leakage. CVPR (2022)
Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. CoRR (2022)
Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints. AAAI (2022)
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Beyond Mahalanobis Distance for Textual OOD Detection. NeurIPS (2022)
Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. ECML/PKDD (3) (2022)
Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida
Igeood: An Information Geometry Approach to Out-of-Distribution Detection. CoRR (2022)
Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. EMNLP (1) (2021)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
On the Exponential Approximation of Type II Error Probability of Distributed Test of Independence. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Meryem Benammar, Eduardo Dadalto Câmara Gomes, Pablo Piantanida
CSI-aided Robust Neural-based Decoders. ISTC (2021)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions. CoRR (2021)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions. IEEE Signal Process. Lett. 28 (2021)
Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR (2021)
Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. CoRR (2021)
Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida
Bounding Information Leakage in Machine Learning. CoRR (2021)
Ganesh Del Grosso, Georg Pichler, Pablo Piantanida
Privacy-Preserving Synthetic Smart Meters Data. ISGT (2021)
Matías Vera, Leonardo Rey Vega, Pablo Piantanida
Information and Regularization in Restricted Boltzmann Machines. ICASSP (2021)
Jorge F. Silva, Pablo Piantanida
On Universal D-Semifaithful Coding for Memoryless Sources with Infinite Alphabets. CoRR (2021)
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
DOCTOR: A Simple Method for Detecting Misclassification Errors. NeurIPS (2021)
Pierre Colombo, Chloé Clavel, Pablo Piantanida
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. CoRR (2021)
Pierre Colombo, Pablo Piantanida, Chloé Clavel
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. ACL/IJCNLP (1) (2021)
Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia
On the impossibility of non-trivial accuracy under fairness constraints. CoRR (2021)
Matías Vera, Leonardo Rey Vega, Pablo Piantanida
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss. CoRR (2021)
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
Adversarial Robustness via Fisher-Rao Regularization. CoRR (2021)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
Mutual-Information Based Few-Shot Classification. CoRR (2021)
Pierre Colombo, Chloé Clavel, Pablo Piantanida
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. CoRR (2021)
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Realistic evaluation of transductive few-shot learning. NeurIPS (2021)
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
DOCTOR: A Simple Method for Detecting Misclassification Errors. CoRR (2021)
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau
Learning Sparse Privacy-Preserving Representations for Smart Meters Data. SmartGridComm (2021)
Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida
Estimating g-Leakage via Machine Learning. CCS (2020)
Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
On Direct Distribution Matching for Adapting Segmentation Networks. MIDL (2020)
Kai Wan, Daniela Tuninetti, Mingyue Ji, Giuseppe Caire, Pablo Piantanida
Fundamental Limits of Decentralized Data Shuffling. IEEE Trans. Inf. Theory 66 (6) (2020)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
Transductive Information Maximization For Few-Shot Learning. CoRR (2020)
Georg Pichler, Pablo Piantanida, Günther Koliander
On the Estimation of Information Measures of Continuous Distributions. CoRR (2020)
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau
Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning. ISGT-Europe (2020)
Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida
Estimating g-Leakage via Machine Learning. CoRR (2020)
Matías Vera, Leonardo Rey Vega, Pablo Piantanida
The Role of Mutual Information in Variational Classifiers. CoRR (2020)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
Metric learning: cross-entropy vs. pairwise losses. CoRR (2020)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
Information Maximization for Few-Shot Learning. NeurIPS (2020)
Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR (2020)

Pablo Piantanida.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pablo Piantanida