Mohammadhadi Shateri

According to our database, Mohammadhadi Shateri authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Longitudinal Risk Prediction in Mammography with Privileged History Distillation.

Banafsheh Karimian, Alexis Guichemerre, Soufiane Belharbi, Natacha Gillet, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger

CoRR, March, 2026

Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions.

Alexis Guichemerre, Banafsheh Karimian, Soufiane Belharbi, Natacha Gillet, Nicolas Thome, Pourya Shamsolmoali, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger

CoRR, March, 2026

A Universal Source-Free Class Unlearning Framework via Synthetic Embeddings.

Zahra Dehghani Tafti, Pablo Piantanida, Mohammadhadi Shateri

Trans. Mach. Learn. Res., 2026

CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information.

Banafsheh Karimian, Giulia Avanzato, Soufiane Belharbi, Alexis Guichemerre, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models.

Yara Bahram, Mohammadhadi Shateri, Eric Granger

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Uni-DAD: Unified Distillation and Adaptation of Diffusion Models for Few-step Few-shot Image Generation.

Yara Bahram, Melodie Desbos, Mohammadhadi Shateri, Eric Granger

CoRR, November, 2025

CLIP-IT: CLIP-based Pairing for Histology Images Classification.

Banafsheh Karimian, Giulia Avanzato, Soufiane Belharbi, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger

CoRR, April, 2025

PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization.

Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger

CoRR, March, 2025

Learning Task-Agnostic Representations through Multi-Teacher Distillation.

Philippe Formont, Maxime Darrin, Banafsheh Karimian, Eric Granger, Jackie CK Cheung, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Preserving Privacy in GANs Against Membership Inference Attack.

Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida

IEEE Trans. Inf. Forensics Secur., 2024

Islanding Detection for Active Distribution Networks Using WaveNet+UNet Classifier.

Amirhosein Alizadeh, Seyed Fariborz Zarei, Mohammadhadi Shateri

CoRR, 2024

2023

α-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing.

MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau

CoRR, 2023

$\alpha$ - Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing.

MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau

Proceedings of the International Conference on Machine Learning and Applications, 2023

Cardiotocography Signal Abnormality Detection Based on Deep Semi-Unsupervised Learning.

Julien Bertieaux, Mohammadhadi Shateri, Fabrice Labeau, Thierry Dutoit

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022

Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

IEEE Internet Things J., 2022

Privacy-Preserving Adversarial Network (PPAN) for Continuous non-Gaussian Attributes.

Mohammadhadi Shateri, Fabrice Labeau

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Acoustic Emission Signal Entropy as a Means to Estimate Loads in Fiber Reinforced Polymer Rods.

Mohammadhadi Shateri, Maha Ghaib, Dagmar Svecova, Douglas J. Thomson

Sensors, 2021

Learning Sparse Privacy-Preserving Representations for Smart Meters Data.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

Proceedings of the IEEE International Conference on Communications, 2021

2020

Real-Time Privacy-Preserving Data Release for Smart Meters.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

IEEE Trans. Smart Grid, 2020

On the Impact of Side Information on Smart Meter Privacy-Preserving Methods.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

2019

Deep Recurrent Adversarial Learning for Privacy-Preserving Smart Meter Data Release.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

CoRR, 2019

Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release.

Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

Proceedings of the 2019 IEEE International Conference on Communications, 2019