Influencing Business Decisions in Security and Privacy
Gain insights into effective communication strategies for security and privacy teams, learning to influence business leaders and navigate organizational politics for better risk management.
Vacuum Robot Security and Privacy: Preventing Data Collection from Smart Home Devices
Explore security vulnerabilities in smart vacuum robots and learn practical techniques to protect your privacy while maintaining control over these AI-enabled devices.
Death by 1000 Likes - Social Media Security Analysis at DEF CON
Explore how security researchers scraped r/defcon subreddit data to create an online version of the Wall of Sheep, revealing insights about information leakage in the security community.
What to Expect When You're Exploiting - Zero-Day Vulnerabilities in Baby Monitors and Wi-Fi Cameras
Uncover critical security vulnerabilities in Wi-Fi cameras and baby monitors, exploring attack surfaces, privacy issues, and zero-day exploits while learning practical remediation strategies for IoT devices.
Standards in AI, IoT, and Digital Twin Development - Current Progress and Roadmaps
Discover the standardization process for AI, IoT, and digital twin technologies, focusing on ISO frameworks, cybersecurity requirements, and implementation roadmaps for emerging standards.
Missing Mass and Optimal Discovery in Power Systems Security Analysis
Explore advanced statistical modeling and machine learning concepts through probabilistic expert advice, focusing on security analysis in power systems and Good-Turing missing mass estimation techniques.
Keys to the City: The Trade-off Between Revenue and Privacy in Monetizing SDKs
Explore the complex balance between revenue generation and privacy concerns in SDK monetization, examining key strategies and ethical considerations for mobile app development.
Artificial Intelligence: Cohabitating with Security and Privacy
Explore the complex interplay between AI systems, security challenges, and privacy concerns, examining both defensive capabilities and potential threats in today's evolving technological landscape.
Cyber Security and Privacy
Explore essential concepts of cyber security and privacy fundamentals, focusing on modern digital threats, protective measures, and best practices for safeguarding personal and organizational data.
Enterprise Search Relevance at Box: Simplicity
Explore Box's approach to delivering relevant search results across diverse enterprises using Solr and TensorFlow Ranking, balancing simplicity with privacy and security.
Leveraging AI to Create Healthier and Safer Online Communities
Explore AI strategies for combating online harm, addressing evolving adversarial behavior, and balancing safety with privacy in digital communities.
Maximizing Engagement Through Privacy-Preserving Content Recommendations
Explore innovative approaches to recommendation systems that maximize engagement while preserving user privacy, using reinforcement learning and semantic analysis techniques.
Society 5.0 - Assuring Privacy, Ethics, and Trustworthiness in an AI-Driven World
Explore privacy, ethics, and trustworthiness in Society 5.0's AI-driven world. Learn how data scientists can lead in creating a balanced, human-centered digital future.
Operational Research for Fairness, Privacy and Interpretability in Machine Learning
Explore responsible AI through operational research, focusing on fairness, interpretability, and privacy in machine learning. Learn to leverage Integer Linear Programming for optimal, fair rule lists.
The Search for Transparency and Accountability in the Age of AI - RAI and XAI as Essential Tools
Explore responsible AI and explainable AI as crucial tools for building ethical, transparent, and trustworthy AI systems. Uncover their synergy in addressing fairness, accountability, and interpretability challenges.
Navigating the Tradeoff Between Privacy and Fairness in Machine Learning
Explore the intersection of privacy and fairness in ML, addressing challenges and research-based solutions for regulated industries.
Rise of Responsible MLOps
Explore industry-wide developments in responsible AI, focusing on fairness, transparency, privacy, and robustness in MLOps for ethical decision-making systems.
Privacy-Preserving Machine Learning: Strategies and Tools
Explore privacy-preserving machine learning tools and strategies through practical examples, considering risk, implementation complexity, and computational resources.
Privacy-Preserving Machine Learning
Explore strategic approaches to privacy-preserving machine learning, including federated learning, encryption, and differential privacy, with practical examples and risk considerations.
Building Responsible and Trustworthy Generative AI Products at LinkedIn
Explore LinkedIn's ethical AI development, focusing on responsible Generative AI practices. Gain insights into foundational principles and architecture guiding their AI journey and cutting-edge products.
Ethical Implications of Artificial Intelligence
Explore the ethical considerations surrounding AI, examining its societal impact and potential consequences for human decision-making and autonomy.