Which Humans? Innovation, Equity, and Imagination in Human-Centered Design
Explore the social dimensions of innovation in human-centered design, examining technologies across various fields and presenting conceptual tools to address equity and justice in research and design.
See What I Mean - Making Waves with the Blind
Explore how technology revolutionizes life for the visually impaired, from digital braille to AI-powered navigation. Discover innovations enhancing independence and accessibility in daily experiences.
Human-Centered AI
Explore Human-Centered AI: combining AI algorithms with user experience design to enhance human performance, emphasizing meaningful control and ethical considerations.
Design Justice and User Interface Design
Exploring design justice theory and practice, challenging universalist design principles, and discussing how user interface design can contribute to collective liberation and ecological sustainability.
Conversational Systems
Explore the future of AI dialogue systems, their limitations, and potential advancements in multiparty collaboration, as well as the need for defensive measures against manipulative AI.
Justice in Misinformation Detection Systems - An Analysis of Algorithms, Stakeholders, and Potential Harms
Explore the ethical implications and potential harms of misinformation detection algorithms, analyzing stakeholder impacts and justice considerations in AI-driven content moderation.
Algorithmic Fairness and Vertical Equity - Income Fairness with Tax Audit Models
Explore income fairness in tax audit models, examining algorithmic fairness and vertical equity principles to enhance equitable tax enforcement strategies.
Subverting Machines, Fluctuating Identities - Re-Learning Human Categorization
Explore the complexities of human categorization and identity in the digital age, challenging machine learning assumptions and discussing the fluidity of personal identities.
A Review of Taxonomies of Explainable Artificial Intelligence - XAI Methods
Explore various taxonomies of Explainable AI methods, comparing their structures and implications for understanding and categorizing XAI approaches.
Bitcoin - Putting the "Pseudo" Back in Pseudonymous
Explore Bitcoin's pseudonymity vulnerabilities and learn techniques to link multiple addresses to a single user, potentially uncovering real identities using public information sources.
Two Years of Montrehack - The Local CTF Training Initiative
Discover Montréhack, a local CTF training initiative: its origins, operations, and future plans. Learn valuable lessons, tools, and techniques applicable to various cybersecurity challenges.
The Sednit Group, Cyber Espionage in Eastern Europe
Explore the Sednit group's cyber espionage tools, recent campaigns, and exploitation techniques targeting Eastern Europe, with a focus on Ukraine-related topics and custom exploit-kits.
CTF or WTF?
Compara desafíos CTF con pruebas de penetración reales, explorando similitudes y diferencias en habilidades, escenarios y lecciones aprendidas para profesionales de ciberseguridad.
TextSecure Protocol - Present and Future
Explore the TextSecure protocol for encrypted messaging, covering cryptographic challenges, future developments, and approaches to authentication, federation, and metadata protection.
Blurred Lines - The Mixing of APTs with Crimeware Groups
Exploring the blurred lines between state-sponsored actors, APT groups, and crimeware gangs, challenging traditional classifications and discussing the emergence of second-tier APT categories.
Hacking K-12 School Software in a Time of Remote Learning
Análisis de vulnerabilidades en software educativo durante la pandemia, explorando ataques potenciales y sus implicaciones para la seguridad de dispositivos escolares y domésticos.
CrimeOps of the KashmirBlack Botnet
Detailed analysis of KashmirBlack botnet's infrastructure, operation, and evolution. Explores its infection methods, global impact, and adaptability. Highlights the importance of CMS security and cyber hygiene in the digital age.
Full Circle Detection - From Hunting to Actionable Detection
Comprehensive guide to creating efficient detection rules, from initial hunting ideas to actionable alerts for security analysts, using a real-world example of an Outlook persistence technique.
Data Science Way to Deal With Advanced Threats
Explore data science methods for advanced threat detection in SOCs, combining unsupervised and supervised learning to reduce false positives and streamline anomaly triage using ML and interactive visualizations.
dRuby Security Internals
Comprehensive analysis of dRuby's security vulnerabilities, exploring its API, internals, and wire protocol. Demonstrates novel exploitation techniques and discusses efforts to harden dRuby against identified issues.
How to Harden Your Electron App
Learn techniques to enhance security in Electron apps, focusing on threat modeling, separation of concerns, and best practices. Discover insights from building a secure password manager using this framework.