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Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our "Exam Monitoring System: Detecting Abnormal Behavior in Online…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Dinh An Ngo , Thanh Dat Nguyen , Thi Le Chi Dang , Huy Hoan Le , Ton Bao Ho , Vo Thanh Khang Nguyen , Truong Thanh Hung Nguyen

Conventional sampling techniques fall short of drawing descriptive sketches of the data when the data is grossly corrupted as such corruptions break the low rank structure required for them to perform satisfactorily. In this paper, we…

Machine Learning · Computer Science 2016-11-21 Mostafa Rahmani , George Atia

Fifteen years of research studies have concluded unanimously that spreadsheet errors are both common and non-trivial. Now we must seek ways to reduce spreadsheet errors. Several approaches have been suggested, some of which are promising…

Human-Computer Interaction · Computer Science 2008-06-03 David R. Chadwick

Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks. However, their practical application in high-stake domains, such as fraud and abuse detection, remains an area that requires…

Computation and Language · Computer Science 2024-09-11 Joymallya Chakraborty , Wei Xia , Anirban Majumder , Dan Ma , Walid Chaabene , Naveed Janvekar

Bulk email is a primary communication channel within organizations, with all-company emails and regular newsletters serving as a mechanism for making employees aware of policies and events. Ineffective communication could result in wasted…

Human-Computer Interaction · Computer Science 2021-02-09 Ruoyan Kong , Haiyi Zhu , Joseph A. Konstan

Faulty communication between team members is one of the most important factors preventing substantial improvement in patient safety. Aviation, nuclear power and defense have been able to improve their safety record by adopting theory and…

Other Computer Science · Computer Science 2013-12-03 Arun Keepanasseril , Kathleen Ann McKibbon , Alfonso Iorio

It is shown that the optimum strategy of the eavesdropper, as described in the preceding paper, can be expressed in terms of a quantum circuit in a way which makes it obvious why certain parameters take on particular values, and why…

Quantum Physics · Physics 2009-10-30 Robert B. Griffiths , Chi-Sheng Niu

Social networks contain implicit knowledge that can be used to infer hierarchical relations that are not explicitly present in the available data. Interaction patterns are typically affected by users' social relations. We present an…

Social and Information Networks · Computer Science 2017-01-25 Hend Kareem , Lars Asker , Panagiotis Papapetrou

Covert channels is a vital setup in the analysing the strength of security in a network.Covert Channel is illegitimate channelling over the secured channel and establishes a malicious conversation.The trapdoor set in such channels…

Cryptography and Security · Computer Science 2015-06-17 Anjan K , Srinath N K , Jibi Abraham

An important concept in organisational behaviour is how hierarchy affects the voice of individuals, whereby members of a given organisation exhibit differing power relations based on their hierarchical position. Although there have been…

Social and Information Networks · Computer Science 2023-11-23 Matthew Russell Barnes , Mladen Karan , Stephen McQuistin , Colin Perkins , Gareth Tyson , Matthew Purver , Ignacio Castro , Richard G. Clegg

Consumers increasingly rate, review and research products online. Consequently, websites containing consumer reviews are becoming targets of opinion spam. While recent work has focused primarily on manually identifiable instances of opinion…

Computation and Language · Computer Science 2011-07-25 Myle Ott , Yejin Choi , Claire Cardie , Jeffrey T. Hancock

Spam messages continue to present significant challenges to digital users, cluttering inboxes and posing security risks. Traditional spam detection methods, including rules-based, collaborative, and machine learning approaches, struggle to…

Cryptography and Security · Computer Science 2025-04-15 Qiyao Tang , Xiangyang Li

Online exams have become popular in recent years due to their accessibility. However, some concerns have been raised about the security of the online exams, particularly in the context of professional cheating services aiding malicious test…

Computers and Society · Computer Science 2024-03-25 Yong-Siang Shih , Manqian Liao , Ruidong Liu , Mirza Basim Baig

Spear phishing is a deceptive attack that uses social engineering to obtain confidential information through targeted victimization. It is distinguished by its use of social cues and personalized information to target specific victims.…

Cryptography and Security · Computer Science 2020-07-09 Ploy Unchit , Sanchari Das , Andrew Kim , L. Jean Camp

The emergence of Large Language Models (LLMs) has heightened the threat of phishing emails by enabling the generation of highly targeted, personalized, and automated attacks. Traditionally, many phishing emails have been characterized by…

Email threat is a serious issue for enterprise security. The threat can be in various malicious forms, such as phishing, fraud, blackmail and malvertisement. The traditional anti-spam gateway often maintains a greylist to filter out…

Cryptography and Security · Computer Science 2022-11-10 Peilun Wu , Hui Guo

The UK anti-fraud charity Fraud Advisory Panel (FAP) in their review of 2016 estimates business costs of fraud at 144 billion, and its individual counterpart at 9.7 billion. Banking, insurance, manufacturing, and government are the most…

Machine Learning · Computer Science 2022-05-11 Tuan Tran

The never-ending barrage of malicious emails, such as spam and phishing, is of constant concern for users, who rely on countermeasures such as email filters to keep the intended recipient safe. Modern email filters, one of our few defence…

Cryptography and Security · Computer Science 2024-10-16 Lucas Betts , Robert Biddle , Danielle Lottridge , Giovanni Russello

Lies can have a negating impact on governments, companies, and the society as a whole. Understanding the dynamics of lying is therefore of crucial importance across different fields of research. While lying has been studied before in…

Physics and Society · Physics 2020-03-17 Valerio Capraro , Matjaz Perc , Daniele Vilone

Recent work have demonstrated that robustness (to "corruption") can be at odds with generalization. Adversarial training, for instance, aims to reduce the problematic susceptibility of modern neural networks to small data perturbations.…

Machine Learning · Statistics 2023-05-19 Amine Bennouna , Ryan Lucas , Bart Van Parys
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