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LLM-Powered Spear Phishing Detection Solution
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From Policy To Pixels: Strategic UX Design and User Support for GDPR Implementation
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LLM Canary Open-Source Security Benchmark Tool
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SALUS: Streamlining Secure by Design
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Recontextualizing Fairness for Indian Contexts
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SBOM Escrow
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Digital Fingerprinting to Protect Against Deepfakes
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Synthetix
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Evaluating Algorithmic Fairness in AI Recruiting Solutions
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Towards a Security-Aware SBOM Framework
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Understanding Governance, Values, and Identity in the Online Election Information Infrastructure
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Transaction Costs of Cybersecurity Governance in Smart City Initiatives
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The Tyranny of Relevancy: Investigating The Effects of Targeted Fertility Ads on Individuals Grappling with Infertility
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Robust Object Classification via Part-Based Models
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PrivGuard: Privacy Regulation Compliance Made Easier
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Practical Pre-Constrained Cryptography (Or: Balancing Privacy and Traceability in Encrypted Systems)
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Investigating the Compliance of Android App Developers with the California Consumer Privacy Act (CCPA)
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Increasing the Usability of Multi-Factor Authentication (MFA) Recovery Mechanisms
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Fairness in Cybersecurity Insurance Contract
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Deadlines for International Cooperation in AI
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Algorithmic Detection and Decentralised Moderation for Protecting Women from Online Abuse
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Gamification of Cybersecurity Education
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Activism Always: A Student Initiative for Data in the Social Impact Sector
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Privacy Controls for Always-Listening Devices
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A Comprehensive Investigation of Developers’ Remediation Practices
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Are Password Managers Improving our Password Habits?
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Assessing and Developing Online Election Information Infrastructure
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Evaluating equity and bias in cybersecurity related job descriptions and the impact on the cyber talent pipeline
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Evaluating The Digital Divide in The Usability of Privacy and Security Settings in Smartphones
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Investigating the Compliance of Android App Developers with the California Consumer Privacy Act (CCPA)
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Misinformation Corrections
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Reverse Engineer and Counter Adversarial Attacks with Unsupervised Representation Learning
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Robust Machine Learning via Random Transformation
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Towards Bayesian Classifiers that are Robust Against Adversarial Attacks
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Examining the Landscape of Digital Security and Privacy Assistance for Racial Minority Groups
