scholarly journals Diverse routes to expertise in facial recognition

2021 ◽  
Author(s):  
Alice Towler ◽  
James Daniel Dunn ◽  
Sergio Castro Martínez ◽  
Reuben Moreton ◽  
Fredrick Eklöf ◽  
...  
Keyword(s):  
Civil Rights ◽  
National Security ◽  
Proficiency Test ◽  
Deep Neural Networks ◽  
Facial Recognition ◽  
Perceptual Processing ◽  
Response Patterns ◽  
Forensic Scientists ◽  
Recognition Errors ◽  
Processing Errors

Facial recognition errors jeopardize national security, criminal justice, public safety and civil rights. Here, we compare the most accurate humans and facial recognition technology in a detailed lab-based evaluation and international proficiency test for forensic scientists involving 27 forensic departments from 14 countries. We find striking cognitive and perceptual diversity between naturally skilled super-recognizers, trained forensic examiners and deep neural networks, despite them achieving equivalent accuracy. Clear differences emerged in super-recognizers’ and forensic examiners’ perceptual processing, errors, and response patterns: super-recognizers were fast, biased to respond ‘same person’ and misidentified people with extreme confidence, whereas forensic examiners were slow, unbiased and strategically avoided misidentification errors. Further, these human experts and algorithms disagreed on the similarity of faces, pointing to differences in their face representations. Our findings reveal there are multiple types of facial recognition expertise, some of which are better suited to particular real-world facial recognition roles than others.

Behind the atomic curtain: School desegregation and territoriality in the early Cold War

2012 ◽  
Vol 33 (2) ◽  
pp. 115-139
Author(s):  
James T. Sparrow
Keyword(s):  
Cold War ◽  
Civil Rights ◽  
National Security ◽  
Gender Equity ◽  
School Desegregation ◽  
Racial Equality ◽  
Labor Rights ◽  
Popular Front ◽  
Red Flags ◽  
Civil Rights Organizations

The early Cold War was, infamously, a time of political retrenchment, when anticommunists exploited popular fears and national security pretexts to squelch the democratic energies of the Popular Front. Left-led unions and civil rights organizations alike purged their leadership of any communist affiliation, while professional anticommunists pushed other organizations on the Left to do the same or land on the Attorney General’s list of subversive organizations. Support for left-liberal causes such as anti-fascism, labor rights, gender equity, and racial equality' provided red flags for investigators and agitators on the prowl for evidence of internal subversion.1

scholarly journals Labor safety as a social component of the national security of Ukraine in the context of European integration: legal aspect

2021 ◽  
Author(s):  
V. Pasichnyk
Keyword(s):  
Civil Rights ◽  
National Security ◽  
European Integration ◽  
Working Conditions ◽  
The State ◽  
Labor Protection ◽  
National Interests ◽  
European Legislation ◽  
Social Component ◽  
Labor Safety

Problem setting. Social stability, a high-quality living standard for the population, and the creation of prerequisites for a decent level of living and development of society directly depend on the level of ensuring social security as a component of the national security of Ukraine. Recent research and publications analysis. Some aspects of the regulatory labor protection support are shown in the works of M. Baru, V. Venediktova, S. Voloshyna, D. Karpenko, L. Lazor, I. Shamshyna, V. Chernadchuk, O. Yaroshenko, and others. However, the peculiarities of labor protection as a social component of national safety in the context of Ukraine’s integration into the European Union require some further scientific research, and the regulation of these features definitely needs to be improved. The article aims to analyze the regulatory support of labor safety as a social component of national security, taking into account the processes of European integration of Ukraine, and to clarify the regulatory context of reforming its system. Highlighting previously unsettled parts of the general problem. The contradiction and inconsistency of the provisions in the Ukrainian legislation as for labor safety and the presence of numerous gaps in it determines the necessity to study this problem of the regulatory support for labor protection as a social component of the national security of Ukraine in the context of European integration. Paper main body. The main priority for ensuring national security is the protection of life and health, human and civil rights, and freedoms. National security is a system of measures to ensure the state of the Ukrainian people (nation) as an independent subject of political power and an equal participant in international relations, the bearer of sovereignty and the main source of power in their country, when the vital interests of a person and citizen, society and the state are optimally balanced and protected. There are no threats to the national interests, national values, and national way of life, and its independence, stability, self-development, and progress are ensured. National security is a complex multidimensional phenomenon that combines military, social, economic, political, informational, and environmental components. So, labor safety is an important social component of national security, because it provides for the adoption of necessary measures aimed at preserving life, health, and working capacity of a person in the process of work and avoiding accidents in future. Providing public stability and meeting Ukrainian national interests largely depends on ensuring labor safety. The law of Ukraine “On labor protection” of 14.10.1992 establishes a single procedure for organizing labor protection by regulating relations between an employer and an employee on issues of labor safety, health and the working environment, and the determination of basic provisions on the realization of the constitutional right of workers to protection of their life and health in the course of labor activity, to proper, safe and healthy working conditions. Ukrainian legislation defines labor protection as a phenomenon related to almost all spheres of society (socio-economic, political, legal, etc.). At the same time, the scientific community considers the concept of labor protection in various aspects. In this case, the concept of “labor protection” covers its definition of “labor safety” as the protection of the employee from the risks associated with the labor process. Thus, labor safety as an element of worker protection is the social component of national security that involves necessary measures to saving human life, health, and working ability and avoiding future accidents. Conclusions of the research and prospects for further studies. Based on the previous information, we can conclude that labor safety is an important social component of the national security of Ukraine. The international legal system and European standards of labor protection are based on the principles of protection and defense of human and civil rights. Therefore, the adaptation of local legislation to international and European legislation will help to improve existing legal norms and create new ones that will contribute to labor safety and stability in society and strengthening the national security of Ukraine. In the case of Ukrainian adaptation to international and European legislation, the requirements of European norms and standards in the field of labor safety provide for the solution of the following urgent tasks: ensuring safe working conditions, prevention of occupational injuries and diseases, providing the safety of products and services. At the same time, the use of economic levers and incentive principles is crucial. Legislative adaptation has to be based on systematic and preventive approaches to ensure workers their labor safety and health.

scholarly journals Analysis of the possibilities of using a deep neural networks as an image recognition technology to solve the problem of automating attendance tracking

2020 ◽  
pp. 15-26
Author(s):  
Anna Ilina ◽  
Vladimir Korenkov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Quality Assessment ◽  
Image Recognition ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Facial Recognition ◽  
Manual Counting

The task of counting the number of people is relevant when conducting various types of events, which may include seminars, lectures, conferences, meetings, etc. Instead of monotonous manual counting of participants, it is much more effective to use facial recognition technology, which makes it possible not only to quickly count those present, but also to recognize each of them, which makes it possible to conduct further analysis of this data, identify patterns in them and predict. The research conducted in this paper determines the quality assessment of the use of facial recognition technology in images andvideo streams, based on the use of a deep neural network, to solve the problem of automating attendance tracking.

Intelligence Oversight

2016 ◽  
Author(s):  
Jeffrey Adams
Keyword(s):  
Civil Rights ◽  
National Security ◽  
News Media ◽  
Academic Discipline ◽  
The United States ◽  
Similar Process ◽  
Emerging Democracies ◽  
The Government ◽  
Fresh Impetus ◽  
The Impact

Oversight has the objective of ensuring accountability in the operations of a country’s security and intelligence organizations. Among established democracies, the United States has taken a clear lead by putting numerous legal safeguards in place, notably after the major congressional investigations of 1975. A wave of reform followed in other countries—initially in Australia and Canada and later extending to the United Kingdom, Denmark, Austria, Greece, Norway, and Italy. Emerging democracies such as South Africa and Romania initiated a similar process, while China, Japan, and the Russian Federation registered little if any change. A crucial debate confronts any representative government: preserving a protective cloak of secrecy in the interest of national security while maintaining outside scrutiny of an agency’s performance and pattern of conduct. Oversight can be exercised by either the executive or the legislative branch of the government, although most commonly one finds a mixture of the two. Occasionally the permanent courts will adjudicate espionage cases involving the unauthorized disclosure of sensitive classified information, just as more specialized bodies such as commissions, ombudsmen, and tribunals might be created and enter the picture. In some instances, the news media have proven to be critical instruments in shaping public opinion and exerting pressure on government officials; far more limited has been the impact of civil rights and other independent groups. The international repercussions of both the 9/11 terrorist attacks in 2001 and the National Security Agency leaks by Edward Snowden in 2013 have given fresh impetus to proponents and critics alike. As more nations have sought to democratize their intelligence communities, intelligence oversight has attracted increased attention, becoming in the process a prominent element in the expanding academic discipline of intelligence studies. Still, no universal formula or model has yet emerged—and some form of compromise among the alternatives nearly always results. The robust debate over secrecy versus transparency thus appears guaranteed to continue into the foreseeable future.

scholarly journals Building an Adversarial Attack Hat to Fool Facial Recognition

2021 ◽  
Author(s):  
Morgan Frearson
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Facial Recognition ◽  
Infrared Light ◽  
Design Phase ◽  
Training Models ◽  
Current Design ◽  
Adversarial Attack ◽  
Recognition Systems ◽  
High Degree

<div><div><div><p>The use of deep learning for human identification and object detection is becoming ever more prevalent in the surveillance industry. These systems have been trained to identify human body’s or faces with a high degree of accuracy. However, there have been successful attempts to fool these systems with different techniques called adversarial attacks. This paper presents an adversarial attack using infrared light on facial recognition systems. The relevance of this research is to exploit the physical downfalls of deep neural networks. This demonstration of weakness within these systems are in hopes that this research will be used in the future to improve the training models for object recognition. A research outline on infrared light and facial recognition are presented within this paper. A detailed analyzation of the current design phase and future steps of the of the project are presented including initial testing of the device. Any challenges are explored and evaluated such that the deliverables of the project remain consistent to its timeline. The project specifications may be subject to change overtime based on the outcomes of testing stages.</p></div></div></div>

scholarly journals A mesterséges intelligencia belügyi és biztonsági célú alkalmazása

2020 ◽  
Vol 1 (1) ◽  
pp. 49-53
Author(s):  
Dániel Necz
Keyword(s):  
Water Management ◽  
European Union ◽  
Law Enforcement ◽  
National Security ◽  
Data Protection ◽  
Local Governments ◽  
Facial Recognition ◽  
Sufficient Information ◽  
Recognition Systems ◽  
Internal Affairs

Összefoglalás. A tanulmány célja a mesterséges intelligencia (MI) belügyi és biztonsági célú alkalmazásának bemutatása, különös figyelemmel az arcfelismerő rendszerek és egyéb MI alapú megoldások rendvédelmi, nemzetbiztonsági, valamint önkormányzati és vízgazdálkodási területen való alkalmazásának lehetőségeire, adatvédelmi és kibervédelmi szempontjaira. A tanulmány ennek kapcsán mind az irányadó magyar és európai uniós előírásokat és célkitűzéseket, mind az MI-re irányadó hatósági gyakorlatot számba veszi és ismerteti, valamint ezek tanulságait összefoglalja és kiértékeli az egyes MI alapú megoldások sajátosságainak figyelembevételével. Summary. The purpose of the study is to take a closer look on the application of artificial intelligence (AI) concerning internal affairs and for security purposes, with a key focus on facial recognition systems and other solutions used by law enforcement and national security agencies to answer new challenges posed by cybercrime and criminal networks spreading through the cyberspace. In the light of the above, the study further takes into account the risks associated with the usage of AI solutions concerning internal affairs and for security purposes and tries to find possible measures to minimize them. Bearing this in mind, the study highlights the key relevant Hungarian and European Union requirements and goals, including the approach of the European Union concerning biometric identification and the Hungarian AI Strategy’s vision on the usage of AI based solutions for administrative, law enforcement, defense and military national security purposes. The study further analyzes the practical aspects of the usage of AI solutions by law enforcement agencies and the key aspects of facial recognition systems and other similar solutions. This includes the territory affected by the system, the period of monitoring, the human revision of the results presented by the algorithms, as well as data security minimum requirements and the rights of data subjects affected by AI solutions (e.g. sufficient information provided on the processing of their data in accordance with the national and public interests related to the usage of AI solutions). In addition to the above, the study further discusses the use of AI solutions by national security agencies, including the aspects of monitoring dark web activities conducted by criminal and terrorist organizations and ways for national agencies to intercept messages and gather evidence by new solutions in line with data protection and constitutional requirements. Finally, the study helps us understand, how AI based solutions can be used for facilitating everyday work of local governments (with a key focus on chatbot services and self-service opportunities) and for solving water management related tasks more efficiently, thus creating a more modern administration, where citizens can easily interact with administrative bodies and technical or simpler tasks are undertaken by algorithms. All in all, the study outlines how AI is currently used concerning internal affairs and for security purposes and how it can be used to help law enforcement and national security agencies fight new forms of crime empowered by technology or to further modernize local governments and water management systems and apply AI based solutions in accordance with data protection requirements and procedural laws.

scholarly journals Building an Adversarial Attack Hat to Fool Facial Recognition

2021 ◽  
Author(s):  
Morgan Frearson
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Facial Recognition ◽  
Infrared Light ◽  
Design Phase ◽  
Training Models ◽  
Current Design ◽  
Adversarial Attack ◽  
Recognition Systems ◽  
High Degree

<div><div><div><p>The use of deep learning for human identification and object detection is becoming ever more prevalent in the surveillance industry. These systems have been trained to identify human body’s or faces with a high degree of accuracy. However, there have been successful attempts to fool these systems with different techniques called adversarial attacks. This paper presents an adversarial attack using infrared light on facial recognition systems. The relevance of this research is to exploit the physical downfalls of deep neural networks. This demonstration of weakness within these systems are in hopes that this research will be used in the future to improve the training models for object recognition. A research outline on infrared light and facial recognition are presented within this paper. A detailed analyzation of the current design phase and future steps of the of the project are presented including initial testing of the device. Any challenges are explored and evaluated such that the deliverables of the project remain consistent to its timeline. The project specifications may be subject to change overtime based on the outcomes of testing stages.</p></div></div></div>

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