Detecting Communities of Commuters: Graph Based Techniques Versus Generative Models. - Ashish Dandekar; Stéphane Bressan; Talel Abdessalem; Huayu Wu 001; Wee Siong Ng (OTM Conferences, 2016)

Generating Fake but Realistic Headlines Using Deep Neural Networks. - Ashish Dandekar; Remmy A. M. Zen; Stéphane Bressan (DEXA (2), 2017)

Data Driven Generation of Synthetic Data with Support Vector Data Description. - Fajrian Yunus; Ashish Dandekar; Stéphane Bressan (DEXA (2), 2017)

Differential Privacy for Regularised Linear Regression. - Ashish Dandekar; Debabrota Basu; Stéphane Bressan (DEXA (2), 2018)

A Comparative Study of Synthetic Dataset Generation Techniques. - Ashish Dandekar; Remmy A. M. Zen; Stéphane Bressan (DEXA (2), 2018)

Who is Alice? Privacy Risk, the Case of Regression (Extended Abstract). - Ashish Dandekar; Stéphane Bressan (IWBIS, 2018)

Privacy as a Service: Publishing Data and Models. - Ashish Dandekar; Debabrota Basu; Thomas Kister; Geong Sen Poh; Jia Xu 006; Stéphane Bressan (DASFAA (3), 2019)

Differentially Private Non-parametric Machine Learning as a Service. - Ashish Dandekar; Debabrota Basu; Stéphane Bressan (DEXA (1), 2019)

Differential Privacy at Risk: Bridging Randomness and Privacy Budget. - Ashish Dandekar; Debabrota Basu; Stéphane Bressan (Proc. Priv. Enhancing Technol., 2021)

Intelligent Tutoring System: Experience of Linking Software Engineering and Programming Teaching. - Zhiyu Fan; Yannic Noller; Ashish Dandekar; Abhik Roychoudhury (CoRR, 2023)

Software Engineering Educational Experience in Building an Intelligent Tutoring System. - Zhiyu Fan; Yannic Noller; Ashish Dandekar; Abhik Roychoudhury (CSEE&T, 2025)