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Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities.

, , , , and . EuroS&P, page 528-543. IEEE, (2019)

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The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples., , , , and . SIGIR, page 2426-2430. ACM, (2023)CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 4499-4511. PMLR, (2022)Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities., , , , and . EuroS&P, page 528-543. IEEE, (2019)Editorial: Human-Interpretable Machine Learning., , and . Frontiers Big Data, (2022)Modeling and predicting the task-by-task behavior of search engine users., , , , and . OAIR, page 77-84. ACM, (2013)ISIDE: Proactively Assist University Students at Risk of Dropout., , , and . IEEE Big Data, page 1776-1783. IEEE, (2022)Search the web x.0: mining and recommending web-mediated processes.. RecSys, page 417-420. ACM, (2009)Automatic Analysis of Multimodal Requirements: A Research Preview., , , and . REFSQ, volume 7195 of Lecture Notes in Computer Science, page 218-224. Springer, (2012)Challenges in designing an interest-based distributed aggregation of users in P2P systems., , , , , and . ICUMT, page 1-8. IEEE, (2009)Using Clustering to Improve the Structure of Natural Language Requirements Documents., , and . REFSQ, volume 7830 of Lecture Notes in Computer Science, page 34-49. Springer, (2013)