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Anna Monreale
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2023
A. Monreale
,
Naretto, F.
, and
Rizzo, S.
,
“
Agnostic Label-Only Membership Inference Attack
”
, in
17th International Conference on Network and System Security
, 2023.
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F. Naretto
,
Monreale, A.
, and
Giannotti, F.
,
“
Evaluating the Privacy Exposure of Interpretable Global and Local Explainers
”
, in
Submitted at Journal of Artificial Intelligence and Law
, 2023.
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2022
M. Fontana
,
Naretto, F.
,
Monreale, A.
, and
Giannotti, F.
,
“
Monitoring Fairness in HOLDA
”
, in
HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022
, 2022.
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L. Corbucci
,
Monreale, A.
,
Panigutti, C.
,
Natilli, M.
,
Smiraglio, S.
, and
Pedreschi, D.
,
“
Semantic Enrichment of XAI Explanations for Healthcare
”
,
24th International Conference on Artificial Intelligence
. 2022.
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2021
M. Nanni
,
Andrienko, G.
,
Barabasi, A. - L.
,
Boldrini, C.
,
Bonchi, F.
,
Cattuto, C.
,
Chiaromonte, F.
,
Comandé, G.
,
Conti, M.
,
Coté, M.
,
Dignum, F.
,
Dignum, V.
,
Domingo-Ferrer, J.
,
Ferragina, P.
,
Giannotti, F.
,
Guidotti, R.
,
Helbing, D.
,
Kaski, K.
,
Kertész, J.
,
Lehmann, S.
,
Lepri, B.
,
Lukowicz, P.
,
Matwin, S.
,
Jiménez, D. Megías
,
Monreale, A.
,
Morik, K.
,
Oliver, N.
,
Passarella, A.
,
Passerini, A.
,
Pedreschi, D.
,
Pentland, A.
,
Pianesi, F.
,
Pratesi, F.
,
Rinzivillo, S.
,
Ruggieri, S.
,
Siebes, A.
,
Torra, V.
,
Trasarti, R.
,
van den Hoven, J.
, and
Vespignani, A.
,
“
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
”
, 2021.
DOI
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M. Setzu
,
Guidotti, R.
,
Monreale, A.
,
Turini, F.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
GLocalX - From Local to Global Explanations of Black Box AI Models
”
, vol. 294, p. 103457, 2021.
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M. Fontana
,
Naretto, F.
, and
Monreale, A.
,
“
A new approach for cross-silo federated learning and its privacy risks
”
, in
18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021
, 2021.
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G. Mariani
,
Monreale, A.
, and
Naretto, F.
,
“
Privacy Risk Assessment of Individual Psychometric Profiles
”
, in
Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings
, 2021.
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2020
B. Dong
,
Wang, H.
,
Monreale, A.
,
Pedreschi, D.
,
Giannotti, F.
, and
Guo, W.
,
“
Authenticated Outlier Mining for Outsourced Databases
”
,
IEEE Transactions on Dependable and Secure Computing
, vol. 17, pp. 222 - 235, 2020.
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R. Guidotti
,
Monreale, A.
,
Matwin, S.
, and
Pedreschi, D.
,
“
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space
”
, in
Machine Learning and Knowledge Discovery in Databases
, Cham, 2020.
DOI
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N. Forgó
,
Hänold, S.
,
van den Hoven, J.
,
Krügel, T.
,
Lishchuk, I.
,
Mahieu, R.
,
Monreale, A.
,
Pedreschi, D.
,
Pratesi, F.
, and
van Putten, D.
,
“
An ethico-legal framework for social data science
”
, 2020.
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M. Setzu
,
Guidotti, R.
,
Monreale, A.
, and
Turini, F.
,
“
Global Explanations with Local Scoring
”
, in
Machine Learning and Knowledge Discovery in Databases
, Cham, 2020.
DOI
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R. Pellungrini
,
Pappalardo, L.
,
Simini, F.
, and
Monreale, A.
,
“
Modeling Adversarial Behavior Against Mobility Data Privacy
”
,
IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems
, pp. 1 - 14, 2020.
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F. Naretto
,
Pellungrini, R.
,
Monreale, A.
,
Nardini, F. Maria
, and
Musolesi, M.
,
“
Predicting and Explaining Privacy Risk Exposure in Mobility Data
”
, in
Discovery Science
, Cham, 2020.
DOI
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F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
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F. Pratesi
,
Gabrielli, L.
,
Cintia, P.
,
Monreale, A.
, and
Giannotti, F.
,
“
PRIMULE: Privacy risk mitigation for user profiles
”
, vol. 125, p. 101786, 2020.
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2019
R. Guidotti
,
Monreale, A.
, and
Pedreschi, D.
,
“
The AI black box Explanation Problem
”
,
ERCIM NEWS
, pp. 12–13, 2019.
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C. Panigutti
,
Guidotti, R.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Explaining multi-label black-box classifiers for health applications
”
, in
International Workshop on Health Intelligence
, 2019.
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R. Guidotti
,
Monreale, A.
,
Giannotti, F.
,
Pedreschi, D.
,
Ruggieri, S.
, and
Turini, F.
,
“
Factual and Counterfactual Explanations for Black Box Decision Making
”
,
IEEE Intelligent Systems
, 2019.
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R. Guidotti
,
Monreale, A.
, and
Cariaggi, L.
,
“
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers
”
, in
Pacific-Asia Conference on Knowledge Discovery and Data Mining
, 2019.
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D. Pedreschi
,
Giannotti, F.
,
Guidotti, R.
,
Monreale, A.
,
Ruggieri, S.
, and
Turini, F.
,
“
Meaningful explanations of Black Box AI decision systems
”
, in
Proceedings of the AAAI Conference on Artificial Intelligence
, 2019.
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R. Pellungrini
,
Monreale, A.
, and
Guidotti, R.
,
“
Privacy Risk for Individual Basket Patterns
”
, in
ECML PKDD 2018 Workshops
, Cham, 2019.
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R. Pellungrini
,
Monreale, A.
, and
Guidotti, R.
,
“
Privacy Risk for Individual Basket Patterns
”
, in
ECML PKDD 2018 Workshops
, Cham, 2019.
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2018
R. Pellungrini
,
Pappalardo, L.
,
Pratesi, F.
, and
Monreale, A.
,
“
Analyzing Privacy Risk in Human Mobility Data
”
, in
Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers
, 2018.
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R. Guidotti
,
Gabrielli, L.
,
Monreale, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Discovering temporal regularities in retail customers’ shopping behavior
”
,
EPJ Data Science
, vol. 7, p. 6, 2018.
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