Privacy and Security of Big Data in AI Systems: A Research and Standards Perspective

Towards Deep Learning Models Resistant to Adversarial Attacks

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DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks

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Membership Inference Attacks Against Machine Learning Models

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On Assessing ML Model Robustness: A Methodological Framework (Academic Track)

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Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

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Robust physical-world attacks on deep learning visual classification

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Unique in the Crowd: The privacy bounds of human mobility

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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

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Wild patterns: Ten years after the rise of adversarial machine learning

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Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression

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Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression

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BadNets: Evaluating Backdooring Attacks on Deep Neural Networks

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Adversarial attacks on medical machine learning

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Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

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Simple Demographics Often Identify People Uniquely

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Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing.

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Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products

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Book Review: Pattern Recognition and Machine Learning

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Stealing Hyperparameters in Machine Learning

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Certified Defenses for Data Poisoning Attacks

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Simple Demographics Often Identify People Uniquely

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Privacy-Preserving Machine Learning: Threats and Solutions

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PRADA: Protecting Against DNN Model Stealing Attacks

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LOGAN: Membership Inference Attacks Against Generative Models

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A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

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Security Evaluation of Pattern Classifiers under Attack

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Scalable Private Learning with PATE

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Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

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ANTIDOTE: understanding and defending against poisoning of anomaly detectors

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Exploiting machine learning to subvert your spam filter

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Decision Theory for Discrimination-Aware Classification

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Towards Reverse-Engineering Black-Box Neural Networks

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Adversarial Examples: Opportunities and Challenges

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Knock Knock, Who's There? Membership Inference on Aggregate Location Data

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Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

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Paragraph: Thwarting Signature Learning by Training Maliciously

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The Basics of Information Security: Understanding the Fundamentals of InfoSec in Theory and Practice

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Poisoning behavioral malware clustering

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Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly DetectionPreprint

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The application of differential privacy to health data

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Security Evaluation of Support Vector Machines in Adversarial Environments

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Misleading Learners: Co-opting Your Spam Filter

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The Basics of Information Security: Understanding the Fundamentals of InfoSec in Theory and Practice

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FairML : ToolBox for diagnosing bias in predictive modeling

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Security and Privacy Issues in Deep Learning

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On the Practicality of Integrity Attacks on Document-Level Sentiment Analysis

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Improving official statistics in emerging markets using machine learning and mobile phone data

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Towards Reverse-Engineering Black-Box Neural NetworksPreprint

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An Analysis of Prisoner Reentry and Parole Risk Using COMPAS and Traditional Criminal History Measures

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Defending Against Machine Learning Model Stealing Attacks Using Deceptive PerturbationsPreprint

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Evaluating Fairness Metrics in the Presence of Dataset BiasPreprint

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Modeling online social network users’ profile attribute disclosure behavior from a game theoretic perspective

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Detecting Target-Area Link-Flooding DDoS Attacks Using Traffic Analysis and Supervised Learning

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Trustworthiness in IoT – A Standards Gap Analysis on Security, Data Protection and Privacy

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Modeling Privacy Settings of an Online Social Network from a Game-Theoretical Perspective

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Response to Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata”

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A Memory-Based Label Propagation Algorithm for Community Detection

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The Privacy Exposure Problem in Mobile Location-Based Services

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Link Definition Ameliorating Community Detection in Collaboration Networks

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White Paper: Data Protection and Privacy in Smart ICT - Scientific Research and Technical Standardization

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Early detection of Crossfire attacks using deep learningPreprint

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A privacy-preserving solution for storage and processing of personal health records against brute-force attacks

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Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions

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An Overview of Artificial Intelligence Ethics

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Artificial Intelligence Security: Threats and Countermeasures

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Artificial intelligence potential for net zero sustainability: Current evidence and prospects

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Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives

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Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets

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From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape

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How Generative AI Is Transforming Journalism: Development, Application and Ethics

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Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

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Public Perceptions and Attitudes Towards the Application of Artificial Intelligence in Journalism: From a China-based Survey

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Human centred explainable AI decision-making in healthcare

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An Analytical Review on the Impact of Artificial Intelligence on the Business Industry: Applications, Trends, and Challenges

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Critical Success Factors in a multi-stage adoption of Artificial Intelligence: A Necessary Condition Analysis

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The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies

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Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook

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Knowledge Sharing Key Issue for Digital Technology and Artificial Intelligence Adoption

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A survey of secure semantic communications

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Complementary or substitutive effects? The duality of digitalization and ESG on firm's innovation

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Integrating a Blockchain-Based Governance Framework for Responsible AI

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Using AI–ML to Augment the Capabilities of Social Media for Telehealth and Remote Patient Monitoring

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Ethical AI in Information Technology: Navigating Bias, Privacy, Transparency, and Accountability

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Accountability, Trust, and Transparency in AI Systems From the Perspective of Public Policy

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Factors affecting citizen intention toward AI acceptance and adoption: the moderating role of government regulations

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Artificial Intelligence for Noninvasive Health Diagnostics

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Big Picture on Privacy Enhancing Technologies in e-Health: A Holistic Personal Privacy Workflow

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AI and HRM in Tourism and Hospitality in Egypt: Inevitability, Impact, and Future

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Artificial Intelligence (AI) and Cheating

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Beyond Code and Algorithms: Navigating Ethical Complexities in Artificial Intelligence

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Advice from a Doctor or AI? Understanding Willingness to Disclose Information Through Remote Patient Monitoring to Receive Health Advice

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Human-centered GeoAI foundation models: where GeoAI meets human dynamics

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The role of perceived utility and ethical concerns in the adoption of AI-based data analysis tools: A multi-group structural equation model analysis among academic researchers

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Secure Deep Learning for Intelligent Terahertz Metamaterial Identification

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AI-Driven Manufacturing: Surveying for Industry 4.0 and Beyond

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Preserving Privacy of Social Media Data Using Artificial Intelligence Techniques

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The convergence of nanomanufacturing and artificial intelligence: trends and future directions

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Both ends of artificial intelligence impacting privacy: a review of violation and protection

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The Relationship between Cybersecurity and Artificial Intelligence

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Alshehhi, K., Cheaitou, A., & Rashid, H. S. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0141060 · Cited by 3 · see citing works

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Khayyat, N., & Haddud, A. (2025) · International Journal of Innovation and Technology Management · doi:10.1142/s021987702550018x · Cited by 1 · see citing works

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Bilgin, H. (2025) · Higher Education Governance and Policy · doi:10.55993/hegp.1788343 · Cited by 2 · see citing works

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Wiesmüller, S. (2023) · Relational economics and organization governance · doi:10.1007/978-3-031-25023-1_4

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Abdi, O., Srivastava, G., & Lin, J. C. (2023) · Advances in information security · doi:10.1007/978-3-031-28150-1_7

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Lan, L., & guodong, Y. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4661097

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Solanke, A. A. (2022) · doi:10.34218/fcsit_03_01_003

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Sultan, M. (2025) · doi:10.22541/au.174655377.75454191/v1

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Ahmed, M. (2025) · Preprints.org · doi:10.20944/preprints202506.2110.v1

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