About me

This is Dr Ali Shahin Shamsabadi! I am a Privacy Researcher at Brave Software. Before joining Brave Software, I was a Research Associate at the The Alan Turing Institute under supervision of Adrian Weller, and a Postdoctoral Fellow at Vector Institute under the supervision of Nicolas Papernot. I have received a PhD in Computer Science from the Queen Mary University of London. During my PhD, I did internships at Inria (with Aurélien Bellet and Emmanuel Vincent on the intersection of differential privacy and audio) and The Alan Turing Institute (with Adria Gascon and Matt Kusner on the intersection of multi-party computation and machine learning). I was also a PhD visitor at Imperial College London working with Hamed Haddadi.

Research

I love to help Machine Learning and Artificial Intelligence to be Trustworthy, Auditable, Responsible, Secure and Safe!
My research has been published at top-tier conferences including NeurIPS, ICLR, CVPR, CCS, USENIX Security and PETs. My research interests and recent works include:

News

PC services

Talks

  • 07/2023 - UAI 2023 conference – Mnemonist: Locating Model Parameters that Memorize Training Examples Video
  • 06/2023 - PETS 2023 conference – Losing Less: A Loss for Differentially Private Deep Learning Slides
  • 06/2023 - PETS 2023 conference – Differentially Private Speaker Anonymization Slides
  • 05/2023 - ICLR 2023 conference – Confidential-PROFITT: Confidential PROof of FaIr Training of Trees Video
  • 05/2023 - Workshop on Algorithmic Audits of Algorithms
  • 05/2023 - Intel
  • 04/2023 - Northwestern University – How can we audit Fairness of AI-driven services provided by companies?
  • 03/2023 - AIUK 2023 – Confidential-PROFITT: Confidential PROof of FaIr Training of Trees Video
  • 03/2023 - University of Cambridge – An Overview of Differential Privacy, Membership Inference Attacks, and Federated Learning
  • 11/2022 - NeurIPS 2022 conference – Washing The Unwashable : On The (Im)possibility of Fairwashing Detection Video
  • 11/2022 - University of Cambridge and Samsung
  • 10/2022 - Queen’s University of Belfast
  • 09/2022 - Information Commissioner’s Office
  • 09/2022 - Brave
  • 06/2020 - CVPR 2020 conference – ColorFool: Semantic Adversarial Colorization Video
  • 05/2020 - ACM Multimedia 2020 – A tutorial on Deep Learning for Privacy in Multimedia Slides
  • 05/2020 - ICASSP 2020 conference – EdgeFool: An Adversarial Image Enhancement Filter Video
  • 06/2018 - The Alan Turing Institute – Privacy-Aware Neural Network Classification & Training – Video
  • 06/2018 - QMUL summer school – Distribute One-Class Learning Video