CV
Education
- Postdoc, The Alan Turing Institute, 2022
- Postdoc, Vector Institute, 2021
- Ph.D in Electrical Engineering and Computer Science, Queen Mary University of London, 2021
- M.S. in Electrical Engineering (Digital), Sharif University of Technology, 2016
Work experience
- 2020: Internship
- Inria
- Project: Intersection of differential privacy and adversarial audios
- Supervisors: Aurelien Bellet, Emmanuel Vincent, Marc Tommasi
- 2020: Research Assistant
- Queen Mary University of London, University of Lisbon, Carnegie Mellon University
- Project: FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
- Goal: Generate and conceal the adversarial perturbation within the original audio files
- Supervisors: Alberto Abad, Bhiksha Raj, Andrea Cavallaro, Isabel Trancoso
- 2019: PhD Enrichment
- The Alan Turing Institute
- 2018: Internship
- The Alan Turing Institute
- Project: Privacy-aware neural network classification & training
- Goal: To invent new encrypted methods for neural network training and classification
- Supervisors: Matt Kusner, Adria Gascon, Varun Kanade
Skills
- Programing
- Python (PyTorch, Keras, Tensorflow, Caffe2, Caffe)
- C/C++ (ABY (Multi-Party Computation), SEAL and HElib (Homomorphic Encryption))
- Matlab
- Verilog
Publications
Talks
A New Algorithm for Training Sparse Autoencoders
Poster at 25th European Signal Processing Conference (EUSIPCO), 2017, Kos island, Greece
Distributed One-Class Learning
Presentation at Summer school, 2018, Centre for Intelligent Sensing, Queen Mary University of London
Privacy-Aware Neural Network Classification & Training
Presentation at Alan Turing Institute, 2018, Alan Turing Institute, London
EdgeFool: an adversarial image enhancement filter
Presentation at International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020, Barcelona, Spain
ColorFool: Semantic Adversarial Colorization
Presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, Washington, USA
Deep Learning for Privacy in Multimedia
Tutorial at ACM Multimedia Conference, 2020, Seattle, Washington, USA
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection
Presentation at 36th Conference on Neural Information Processing Systems (NeurIPS), 2022, New Orleans, USA