Nicholas Carlini
Google (United States)(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Privacy-Preserving Technologies in Data, Advanced Malware Detection Techniques, Anomaly Detection Techniques and Applications, Topic Modeling
Most-Cited Works
- → FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence(2020)2,264 cited
- → Adversarial Examples Are Not Easily Detected(2017)1,401 cited
- → Obfuscated Gradients Give a False Sense of Security: Circumventing\n Defenses to Adversarial Examples(2018)1,189 cited
- → Towards Evaluating the Robustness of Neural Networks(2017)660 cited
- → MixMatch: A Holistic Approach to Semi-Supervised Learning(2019)604 cited
- → On Evaluating Adversarial Robustness(2019)580 cited
- → The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks(2018)503 cited
- → Technical Report on the CleverHans v2.1.0 Adversarial Examples Library(2016)404 cited
- → Membership Inference Attacks From First Principles(2022)360 cited