Nikhil Jha

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36^th cycle (2020-2023)

Ph.D. obtained in 2024

Dissertation:

Privacy on the Web: Algorithms, Tools and Measurements (Abstract)

Tutors:

Marco Mellia Martino Trevisan

Profile

Research topic

Privacy preserving analytics for online data markets

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Biography

Nikhil Jha was born in Chieri (TO), in 1995. He is a PhD student currently enrolled in Poltecnico di Torino, under the supervision of Marco Mellia and Martino Trevisan, with a scolarship funded by EURECOM, a graduate school based in the SophiaTech campus, Biot, France. At PoliTo he also obtained both his Bachelor's degree in Management Engineering in 2017 and his Master's degree in ICT for Smart Societies in 2020. Together with the latter, he obtained the Master's degree in Data Science and Engineering from Telecom ParisTech, in 2020. During his abroad period, which lasted three semesters, he spent the first two at EURECOM and the third one as an intern at Nokia Bell Labs, in Nozay.

Currently, his research area focuses on the privacy preserving analytics, especially in the context of online data marketing.

Teaching

Teachings

Master of Science

Internet Performance and Troubleshooting Lab. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
Interdisciplinary projects. A.A. 2023/24, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso

Bachelor of Science

Laboratorio di Internet. A.A. 2022/23, INGEGNERIA ELETTRONICA. Collaboratore del corso

MostraNascondi A.A. passati

Publications

Last years publications

Publications by type

Works published during the Ph.D. View all publications in Porto@Iris

Jha, Nikhil (2024)
Privacy on the Web: Algorithms, Tools and Measurements. relatore: MELLIA, MARCO; TREVISAN, MARTINO; , 36. XXXVI Ciclo, P.: 129
Doctoral Thesis
Jha, Nikhil; Trevisan, Martino; Mellia, Marco; Irarrazaval, Rodrigo; Fernandez, Daniel (2023)
I Refuse if You Let Me: Studying User Behavior with Privacy Banners at Scale. In: 2023 7th Network Traffic Measurement and Analysis Conference (TMA), Naples (Italy), 26-29 June 2023, pp. 1-9. ISBN: 978-3-903176-58-4
Contributo in Atti di Convegno (Proceeding)
Jha, N.; Trevisan, M.; Leonardi, E.; Mellia, M. (2023)
On the Robustness of Topics API to a Re-Identification Attack. In: 23rd Privacy Enhancing Technologies Symposium (PETS 2023), Lausanne (CH), July 10–15, 2023, pp. 66-78
Contributo in Atti di Convegno (Proceeding)
Jha, Nikhil; Vassio, Luca; Trevisan, Martino; Leonardi, Emilio; Mellia, Marco (2023)
Practical anonymization for data streams: z-anonymity and relation with k-anonymity. In: PERFORMANCE EVALUATION, vol. 159. ISSN 0166-5316
Contributo su Rivista
Jha, Nikhil; Trevisan, Martino; Vassio, Luca; Mellia, Marco (2022)
The Internet with Privacy Policies: Measuring The Web Upon Consent. In: ACM TRANSACTIONS ON THE WEB, vol. 16. ISSN 1559-1131
Contributo su Rivista
Jha, Nikhil; Trevisan, Martino; Vassio, Luca; Mellia, Marco; Traverso, Stefano; ... (2022)
A PIMS Development Kit for New Personal Data Platforms. In: IEEE INTERNET COMPUTING, vol. 26, pp. 79-84. ISSN 1089-7801
Contributo su Rivista
Jha, Nikhil; Favale, Thomas; Vassio, Luca; Trevisan, Martino; Mellia, Marco (2021)
z-anonymity: Zero-Delay Anonymization for Data Streams. In: 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 10-13 Dec. 2020, pp. 3996-4005. ISBN: 978-1-7281-6251-5
Contributo in Atti di Convegno (Proceeding)

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