Gabriele Tolomei

Gabriele Tolomei

Sapienza Università di Roma

H-index: 20

Europe-Italy

About Gabriele Tolomei

Gabriele Tolomei, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Sapienza Università di Roma, specializes in the field of Machine Learning, Adversarial Learning, Federated Learning, Explainable Artificial Intelligence, Web Search and Advertising.

His recent articles reflect a diverse array of research interests and contributions to the field:

Debiasing Machine Unlearning with Counterfactual Examples

: Gradient-based and Task-Agnostic machine Unlearning

Method and system for analyzing user behavior associated with web contents

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples

Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning

A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models

Sparse Vicious Attacks on Graph Neural Networks

Gabriele Tolomei Information

University

Position

Associate Professor of Computer Science at

Citations(all)

1556

Citations(since 2020)

1019

Cited By

828

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

30

i10Index(since 2020)

21

Email

University Profile Page

Sapienza Università di Roma

Google Scholar

View Google Scholar Profile

Gabriele Tolomei Skills & Research Interests

Machine Learning

Adversarial Learning

Federated Learning

Explainable Artificial Intelligence

Web Search and Advertising

Top articles of Gabriele Tolomei

Title

Journal

Author(s)

Publication Date

Debiasing Machine Unlearning with Counterfactual Examples

arXiv preprint arXiv:2404.15760

Ziheng Chen

Jia Wang

Jun Zhuang

Abbavaram Gowtham Reddy

Fabrizio Silvestri

...

2024/4/24

: Gradient-based and Task-Agnostic machine Unlearning

arXiv preprint arXiv:2403.14339

Daniel Trippa

Cesare Campagnano

Maria Sofia Bucarelli

Gabriele Tolomei

Fabrizio Silvestri

2024/3/21

Method and system for analyzing user behavior associated with web contents

2024/1/9

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples

Ziheng Chen

Fabrizio Silvestri

Jia Wang

Yongfeng Zhang

Gabriele Tolomei

2023/7/19

Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning

arXiv preprint arXiv:2310.08909

Andrea Bernini

Fabrizio Silvestri

Gabriele Tolomei

2023/10/13

A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates

arXiv preprint arXiv:2303.16668

Gabriele Tolomei

Edoardo Gabrielli

Dimitri Belli

Vittorio Miori

2023/3/29

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models

arXiv preprint arXiv:2310.04875

Gabriele Tolomei

Cesare Campagnano

Fabrizio Silvestri

Giovanni Trappolini

2023/10/7

Sparse Vicious Attacks on Graph Neural Networks

IEEE Transactions on Artificial Intelligence

Giovanni Trappolini

Valentino Maiorca

Silvio Severino

Emanuele Rodola

Fabrizio Silvestri

...

2023/9/26

A Survey on Decentralized Federated Learning

arXiv preprint arXiv:2308.04604

Edoardo Gabrielli

Giovanni Pica

Gabriele Tolomei

2023/8/8

FLIRT: Federated Learning for Information Retrieval

Fabio Pinelli

Gabriele Tolomei

Giovanni Trappolini

2023/7/19

Cf-gnnexplainer: Counterfactual explanations for graph neural networks

Ana Lucic

Maartje A Ter Hoeve

Gabriele Tolomei

Maarten De Rijke

Fabrizio Silvestri

2022/5/3

MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction

arXiv preprint arXiv:2211.02177

Gabriele Tolomei

Lorenzo Takanen

Fabio Pinelli

2022/11/3

ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing

Paolo Barsocchi

Dimitri Belli

Edoardo Gabrielli

Davide La Rosa

Vittorio Miori

...

2022

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models

Ziheng Chen

Fabrizio Silvestri

Jia Wang

He Zhu

Hongshik Ahn

...

2022/10/17

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations

arXiv preprint arXiv:2208.04222

Ziheng Chen

Fabrizio Silvestri

Jia Wang

Yongfeng Zhang

Zhenhua Huang

...

2022/8/4

ISIDE: Proactively Assist University Students at Risk of Dropout

Enrico Bassetti

Andrea Conti

Emanuele Panizzi

Gabriele Tolomei

2022/12/17

Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks

Federico Siciliano

Maria Sofia Bucarelli

Gabriele Tolomei

Fabrizio Silvestri

2022/7/18

Turning Federated Learning Systems into Covert Channels

IEEE Access

Gabriele Costa

Fabio Pinelli

Simone Soderi

Gabriele Tolomei

2022/12/14

Human-Interpretable Machine Learning

Gabriele Tolomei

Fabio Pinelli

Fabrizio Silvestri

2022/6/20

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent

IEEE Transactions on Artificial Intelligence

Ziheng Chen

Fabrizio Silvestri

Gabriele Tolomei

Jia Wang

He Zhu

...

2022/11/23

See List of Professors in Gabriele Tolomei University(Sapienza Università di Roma)

Co-Authors

H-index: 74
Mauro Conti

Mauro Conti

Università degli Studi di Padova

H-index: 45
Fabrizio Silvestri

Fabrizio Silvestri

Sapienza Università di Roma

H-index: 39
Salvatore Orlando

Salvatore Orlando

Università Ca' Foscari di Venezia

H-index: 35
Riccardo Focardi

Riccardo Focardi

Università Ca' Foscari di Venezia

H-index: 28
Michele Bugliesi

Michele Bugliesi

Università Ca' Foscari di Venezia

H-index: 22
Hongshik Ahn

Hongshik Ahn

Stony Brook University

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