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Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
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Usenix Security 2026
ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
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NeurIPS 2026
DROIDCCT: Cryptographic Compliance Test via Trillion-Scale Measurement
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ACSAC 2025
Evaluating the Robustness of a Production Malware Detection System to Transferable Adversarial Attacks
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CCS 2025
FACADE High-Precision Insider Threat Detection Using Contrastive Learning
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BH25 2025
Autonomous Timeline Analysis and Threat Hunting
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BH25 2025
Toward Secure & Trustworthy AI: Independent Benchmarking
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InCyber Forum 2025
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Wingardium Trivia-osa! On-Device Sorting Hatbot Powered by Gemma, Ollama, USearch, and RETSim
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On the consequences of the AI workforce entering the market
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Stay safe online in 10 easy steps
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Wingardium Trivia-osa! On-Device Sorting Hatbot Powered by Gemma, Ollama, USearch, and RETSim
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On the consequences of the AI workforce entering the market
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Stay safe online in 10 easy steps
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Aug 2021
3 million smiles during the pandemic - the retrospective
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Hacker's guide to deep-learning side-channel attacks: code walkthrough
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Jun 2021
Hacker's guide to deep-learning side-channel attacks: the theory
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Insights about the first five years of Right to Be Forgotten requests at Google
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Dec 2019
Understanding the online safety and privacy challenges faced by South Asian women
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Jun 2019
Password checkup: from 0 to 650, 000 users in 20 days
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Mar 2019
Account security - a divided user perception
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The bleak picture of two-factor authentication adoption in the wild
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Dec 2018
Quantifying the impact of the Twitter fake accounts purge - a technical analysis
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Aug 2018
Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
publications
Usenix Security 2026
ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
publications
NeurIPS 2026
DROIDCCT: Cryptographic Compliance Test via Trillion-Scale Measurement
publications
ACSAC 2025
Evaluating the Robustness of a Production Malware Detection System to Transferable Adversarial Attacks
publications
CCS 2025
Integrating Large Language Models into Security Incident Response
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SOUPS 2025
Supporting the Digital Safety of At-Risk Users: Lessons Learned from 9+ Years of Research and Training
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TOCHI 2025
Supporting Human Raters with the Detection of Harmful Content Using Large Language Models
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S&P 2025
Magika: AI-Powered Content-Type Detection
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ICSE 2025
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
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CHES 2024
Imagen 3
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Technical report 2024
Leveraging Virtual Reality to Enhance Diversity and Inclusion training at Google
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CHI 2024
RETSim: Resilient and Efficient Text Similarity
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ICLR 2024
FACADE High-Precision Insider Threat Detection Using Contrastive Learning
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BH25 2025
Autonomous Timeline Analysis and Threat Hunting
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BH25 2025
Toward Secure & Trustworthy AI: Independent Benchmarking
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InCyber Forum 2025
AI for Cybersecurity: Get Started Today
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Sectember AI 2024
AI Security: Top 5 Recommendations To Get Started Today
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DevFest 2024
Lessons Learned from Developing Secure AI Workflows at Google
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RSA 2024
How Large Language Models Are Reshaping the Cybersecurity Landscape
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RSA 2024
How AI helps keeping Gmail inboxes malware free
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FIC 2023
Building Safe End-to-End Encrypted Services for Business - a Google Workspace perspective
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RSA 2022
Deep-Cryptanalysis - Fashion or Revolution?
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WAC 2021
Account protections - A Google Perspective
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FIC 2020
A Hacker’s guide to reducing side-channel attack surfaces using deep-learning
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Defcon & BH 2020