Gabriele Tolomei

Orcid: 0000-0001-7471-6659

According to our database1, Gabriele Tolomei authored at least 53 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Sparse Vicious Attacks on Graph Neural Networks.
IEEE Trans. Artif. Intell., May, 2024

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.
IEEE Trans. Artif. Intell., April, 2024

Debiasing Machine Unlearning with Counterfactual Examples.
CoRR, 2024

∇ τ: Gradient-based and Task-Agnostic machine Unlearning.
CoRR, 2024

Evading Community Detection via Counterfactual Neighborhood Search.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning.
CoRR, 2023

A Survey on Decentralized Federated Learning.
CoRR, 2023

A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates.
CoRR, 2023

FLIRT: Federated Learning for Information Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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, 2023

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022
Editorial: Human-Interpretable Machine Learning.
Frontiers Big Data, 2022

MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction.
CoRR, 2022

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.
CoRR, 2022

Turning Federated Learning Systems Into Covert Channels.
IEEE Access, 2022

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ISIDE: Proactively Assist University Students at Risk of Dropout.
Proceedings of the IEEE International Conference on Big Data, 2022

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing.
Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2022 co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine (UD), Italy, November 28th, 2022

2021
Generating Actionable Interpretations from Ensembles of Decision Trees.
IEEE Trans. Knowl. Data Eng., 2021

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models.
CoRR, 2021

Covert Channel Attack to Federated Learning Systems.
CoRR, 2021

2020
Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery.
IEEE Secur. Priv., 2020

Treant: training evasion-aware decision trees.
Data Min. Knowl. Discov., 2020

2019
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.
Int. J. Data Sci. Anal., 2019

Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities.
Proceedings of the IEEE European Symposium on Security and Privacy, 2019

Adversarial Training of Gradient-Boosted Decision Trees.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Advertising in the IoT Era: Vision and Challenges.
IEEE Commun. Mag., 2018

Spot the Difference: Your Bucket is Leaking : A Novel Methodology to Expose A/B Testing Effortlessly.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Learning to Rank User Queries to Detect Search Tasks.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

2015
A Supervised Learning Approach to Protect Client Authentication on the Web.
ACM Trans. Web, 2015

Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Discovering tasks from search engine query logs.
ACM Trans. Inf. Syst., 2013

SEED: a framework for extracting social events from press news.
Proceedings of the 22nd International World Wide Web Conference, 2013

Trending Topics on Twitter Improve the Prediction of Google Hot Queries.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Modeling and predicting the task-by-task behavior of search engine users.
Proceedings of the Open research Areas in Information Retrieval, 2013

Using Clustering to Improve the Structure of Natural Language Requirements Documents.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2013

Twitter anticipates bursts of requests for Wikipedia articles.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

2012
Enhancing web search user experience : from document retrieval to task recommendation.
PhD thesis, 2012

A clustering-based approach for discovering flaws in requirements specifications.
Proceedings of the ACM Symposium on Applied Computing, 2012

Automatic Analysis of Multimodal Requirements: A Research Preview.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2012

2011
Discovering Europeana Users' Search Behavior.
ERCIM News, 2011

Identifying task-based sessions in search engine query logs.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Improving Europeana Search Experience Using Query Logs.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2011

2010
Towards a task-based search and recommender systems.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Detecting Task-Based Query Sessions Using Collaborative Knowledge.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

2009
Search the web x.0: mining and recommending web-mediated processes.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Challenges in designing an interest-based distributed aggregation of users in P2P systems.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009

2008
SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience.
ERCIM News, 2008

2006
An open standard solution for domotic interoperability.
IEEE Trans. Consumer Electron., 2006


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