Publications

(2019). Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities. IEEE European Symposium on Security and Privacy, EuroS&P 2019, Stockholm, Sweden, June 17-19, 2019.
(2019). Adversarial Training of Gradient-Boosted Decision Trees. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
(2018). 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, Beijing, China, May 30 - June 1, 2018.
(2018). Advertising in the IoT Era: Vision and Challenges. CoRR.
(2018). Advertising in the IoT Era: Vision and Challenges. IEEE Commun. Mag..
(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 - 17, 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, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016.
(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, Sydney, NSW, Australia, August 10-13, 2015.
(2015). A Supervised Learning Approach to Protect Client Authentication on the Web. ACM Trans. Web.
(2014). Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication. 23rd International World Wide Web Conference, WWW ‘14, Seoul, Republic of Korea, April 7-11, 2014.