Anderson, Ross

AI models collapse when trained on recursively generated data

Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., & Gal, Y. (2024) · Nature

Topic ModelingEthics and Social Impacts of AI

Cited by 793

Security Engineering: A Guide to Building Dependable Distributed Systems

Anderson, R. (2020) · Wiley eBooks

Information and Cyber SecuritySecurity and Verification in Computing

Cited by 345

The Curse of Recursion: Training on Generated Data Makes Models Forget

Shumailov, I., Shumaylov, Z., Zhao, Y., Gal, Y., Papernot, N., & Anderson, R. (2023) · arXiv

Reinforcement Learning in RoboticsScientific Computing and Data Management

Cited by 151

Sponge Examples: Energy-Latency Attacks on Neural Networks

Shumailov, I., Zhao, Y., Bates, D., Papernot, N., Mullins, R., & Anderson, R. (2021) · 2021 IEEE European Symposium on Security and Privacy (EuroS&P)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 125

Bad Characters: Imperceptible NLP Attacks

Boucher, N., Shumailov, I., Anderson, R., & Papernot, N. (2022) · 2022 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 102

It’s all over but the crying: the emotional and financial impact of internet fraud

Modic, D., & Anderson, R. (2015) · IEEE Security & Privacy

Cybercrime and Law Enforcement StudiesSpam and Phishing Detection

Cited by 61

Security policies

Anderson, R., Stajano, F., & Lee, J.-H. (2002) · Advances in Computers

Information and Cyber SecurityAccess Control and Trust

Cited by 11

We Will Make You Like Our Research: The Development of a Susceptibility-to-Persuasion Scale

Modic, D., & Anderson, R. J. (2014) · SSRN Electronic Journal

Psychology of Social InfluencePsychometric Methodologies and Testing

Cited by 5