iFace: A Deepfake Resilient Digital Identification Framework for Smart Cities

Mitra, Alakananda; Mohanty, Saraju P.; Corcoran, Peter; Kougianos, Elias

doi:10.1109/ises52644.2021.00090

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…67 Currently, Virginia's Code clarifies under section 18.2-386.2(A) that it is also illegal to spread such images or videos that were created with "the intent to depict an actual person and who is recognizable as [such] by the person's face, likeness, or other distinguishing characteristics," 68 effectively amounting to deepfake pornography. 69 Violating the law is considered a Class 1 misdemeanour 70 , which carries up to 12 months in prison and up to $2,500 (around €2,300) in fines if found guilty. 71 Interestingly enough, while Virginia's Code specifically outlaws the dissemination of pornographic deepfakes, it is silent on the creation thereof.…”

Section: (Ii) Virginiamentioning

confidence: 99%

DEEPFAKE ABUSE: LEGAL PERSPECTIVES Mapping the state of AI-mediated online violence against women and girls

Semenzin,

Polidoro

2024

Preprint

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This legal paper digs into the legal perspective of deepfake and makes recommendations to the EU institution to regulate the phenomenon, as deeply entrenched with technology-facilitated gender-based violence. First, it looks into the risk involving the creation of deepfakes for purposes such as social media manipulation, reputation damage, and sexual abuse. Second, it will describe the factual circumstances around the current European law and to what extent the AI technology generating deepfake content is regulated. Lastly, the paper will contain a comparative analysis of legislation between European law and US legislation, with the purpose of understanding how current regulations are moving, producing recommendations to the EU institutions, especially in the framework of the AI Act.

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Section: (Ii) Virginiamentioning

confidence: 99%

DEEPFAKE ABUSE: LEGAL PERSPECTIVES Mapping the state of AI-mediated online violence against women and girls

Semenzin,

Polidoro

2024

Preprint

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“…Given the model and the measurements of facial motions, all three levels of facial activities are simultaneously recognized through a probabilistic inference. Extensive experiments are performed to illustrate the feasibility and effectiveness of the proposed model on all three level facial activities [3] Facial Expression Recognition with Convolutional Neural Network-Emotions are a powerful tool in communication and one way that humans show their emotions is through their facial expressions. One of the challenging and powerful tasks in social communications is facial expression recognition, as in non-verbal communication, facial expressions are key.…”

Section: Literature Surveymentioning

confidence: 99%

Local Binary Pattern Histogram Based Web Facial Authentication System

2023

Data Analytics and Artificial Intelligence

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The objective of the project is to Detect and Recognize Human Facial Features via a Camera. The basic concept of this project is:- To convert the input image to HSV format to extract the binary image and additionally remove the noise from binary image using morphological operations and finally then contours are used to segment out the region of interest and further the region is analyzed to get the final result. While biometric data is generally considered one of the most reliable authentication methods, it also carries significant risk. That’s because if someone’s credit card details are hacked, that person has the option to freeze their credit and take steps to change the personal information that was breached. What do you do if you lose your digital ‘face’? Around the world, biometric information is being captured, stored, and analyzed in increasing quantities, often by organizations and governments, with a mixed record on cybersecurity. A question increasingly being asked is, how safe is the infrastructure that holds and processes all this data? As facial recognition software is still in its relative infancy, the laws governing this area are evolving (and sometimes non-existent).

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“…Our goal is to provide the digital identification infrastructure necessary for citizens to access the various facilities provided by smart cities in an easy and effective manner. This paper was originally presented in [3].…”

Section: Introductionmentioning

confidence: 99%

iFace 1.1: A Proof-of-Concept of a Facial Authentication Based Digital ID for Smart Cities

et al. 2022

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Smart Cities" are a viable option to various issues caused by accelerated urban growth. To make smart cities a reality, smart citizens need to be connected to the "Smart City" through a digital ID. A digital ID allows citizens to make easy and effective use of amenities provided by the smart city such as healthcare, transport, finance, and energy. In this paper, we propose a proof-of-concept of facial authentication based end-to-end digital ID system for a smart city. Facial authentication systems are prone to various biometric template attacks and cyber security attacks. Our proposed system is designed to detect the first type of attack especially deepfake and presentation attacks. Users are authenticated each time before using facilities in the smart city. Authentication is performed on edge devices, making the process more secure as no data leaves the device during authentication. Facial data is stored at the cloud in a look up table format with an unidentifiable username. Our proposed solution achieved 97% accuracy in authentication with a False Rejection Ratio of 2% and False Acceptance Ratio of 3%.

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iFace: A Deepfake Resilient Digital Identification Framework for Smart Cities

Cited by 9 publications

References 17 publications

DEEPFAKE ABUSE: LEGAL PERSPECTIVES Mapping the state of AI-mediated online violence against women and girls

DEEPFAKE ABUSE: LEGAL PERSPECTIVES Mapping the state of AI-mediated online violence against women and girls

Local Binary Pattern Histogram Based Web Facial Authentication System

iFace 1.1: A Proof-of-Concept of a Facial Authentication Based Digital ID for Smart Cities

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