activity
20162022
most citedMembership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation

3 citations · 7 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV2022

License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes

Saeed Ranjbar Alvar, Korcan Uyanik, Ivan V. Bajić

Traffic scene analysis is important for emerging technologies such as smart traffic management and autonomous vehicles. However, such analysis also poses potential privacy threats.…

cs.CV20223 cited

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation

Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei +1

Image-to-image translation models are shown to be vulnerable to the Membership Inference Attack (MIA), in which the adversary's goal is to identify whether a sample is used to trai…

eess.IV20222 cited

Practical Noise Simulation for RGB Images

Saeed Ranjbar Alvar, Ivan V. Bajić

This document describes a noise generator that simulates realistic noise found in smartphone cameras. The generator simulates Poissonian-Gaussian noise whose parameters have been e…

cs.LG2020

Bit Allocation for Multi-Task Collaborative Intelligence

Saeed Ranjbar Alvar, Ivan V. Bajić

Recent studies have shown that collaborative intelligence (CI) is a promising framework for deployment of Artificial Intelligence (AI)-based services on mobile devices. In CI, a de…

cs.CV20192 cited

FDDB-360: Face Detection in 360-degree Fisheye Images

Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajic +1

360-degree cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors. However, geometric distortions introd…

cs.MM2019

Multi-task learning with compressible features for Collaborative Intelligence

Saeed Ranjbar Alvar, Ivan V. Bajić

A promising way to deploy Artificial Intelligence (AI)-based services on mobile devices is to run a part of the AI model (a deep neural network) on the mobile itself, and the rest…