Gabriele Tolomei | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Evading Community Detection via Counterfactual Neighborhood Search	ACM International Conference on Knowledge Discovery and Data Mining	2024
A Novel Architectural Schema for Constant Monitoring and Assessment of Older Adults’ Health Status at Home	Pervasive Computing Technologies for Healthcare	2024
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples	Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23)	2023
Sparse Vicious Attacks on Graph Neural Networks	IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE	2023
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models	Proceedings of the 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI)	2023
FLIRT: Federated Learning for Information Retrieval	ACM International Conference on Research and Development in Information Retrieval	2023
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks	The 25th International Conference on Artificial Intelligence and Statistics	2022
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks	2022 International Joint Conference on Neural Networks (IJCNN)	2022
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent	IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE	2022
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models	International Conference on Information and Knowledge Management, Proceedings	2022
ISIDE: Proactively Assist University Students at Risk of Dropout	ISIDE: Proactively Assist University Students at Risk of Dropout	2022
Turning Federated Learning Systems into Covert Channels	IEEE ACCESS	2022
Editorial: Human-Interpretable Machine Learning	FRONTIERS IN BIG DATA	2022
Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery	IEEE SECURITY & PRIVACY	2020
Treant: training evasion-aware decision trees	DATA MINING AND KNOWLEDGE DISCOVERY	2020
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction	INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS	2019
Adversarial training of gradient-boosted decision trees	International Conference on Information and Knowledge Management, Proceedings	2019
Generating actionable interpretations from ensembles of decision trees	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING	2019
Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities	Proceedings of the 4th IEEE European Symposium on Security and Privacy	2019
Spot the difference: your bucket is leaking. A novel methodology to expose A/B testing effortlessly	2018 IEEE Conference on Communications and Network Security (CNS)	2018

ERC

PE6_7
PE6_10
PE6_11

KET

Big data & computing

Interessi di ricerca

Robust and Secure Machine Learning
Explainable and Interpretable Machine Learning
Distributed Learning Paradigms (e.g., Federated Learning)
Computational Advertising
Web Search

Keywords

machine learning

explainable AI

machine learning interpretability

Adversarial learning

learning theory

big data

online mobile advertising

Information Retrieval