Faculty profile
Nicolas Papernot
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Author Correction: AI models collapse when trained on recursively generated data.
Nature · 2025
AI models collapse when trained on recursively generated data.
Nature · 2024
Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data.
EBioMedicine · 2024
Latest funding
- $1,400,000
An End-to-End Approach to Safe and Secure AI Systems
NSERC · 2023 · Co-investigator
- $218,000
Security and privacy of foundation models: Towards assurance and governance in representation learning
NSERC · 2023 · Principal investigator
- $495,702
Adaptive Intelligent Wireless Networking with Advanced Communication and Machine Learning Techniques
NSERC · 2021 · Co-investigator
3 publications.
Author Correction: AI models collapse when trained on recursively generated data.
Shumailov I, Shumaylov Z, Zhao Y, Papernot N, Anderson R, Gal Y
AI models collapse when trained on recursively generated data.
Shumailov I, Shumaylov Z, Zhao Y, Papernot N, Anderson R, Gal Y
Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data.
Fang C, Dziedzic A, Zhang L, Oliva L, Verma A, Razak F, Papernot N, Wang B
An End-to-End Approach to Safe and Secure AI Systems
Principal investigators: Lie, David DJ
Keywords: artificial intelligence; fairness; safety; security
Security and privacy of foundation models: Towards assurance and governance in representation learning
Principal investigators: Papernot, Nicolas NGR
Keywords: computer security; data privacy; differential privacy; forensics in generative ai; foundation models; intellectual property protection; robust machine learning; trustworthy machine learning
Adaptive Intelligent Wireless Networking with Advanced Communication and Machine Learning Techniques
Principal investigators: Liang, Ben B
Keywords: 5g and b5g wireless; capacity optimization; distributed machine learning; latency reduction; multi-tier networking; resource management; robust machine learning
Trustworthy Machine Learning by Design
Principal investigators: Papernot, Nicolas
Keywords: trustworthy; machine learning; security; privacy
Trustworthy Machine Learning by Design
Principal investigators: Papernot, Nicolas
NSERC COHESA: Computing Hardware for Emerging Intelligent Sensory Applications
Principal investigators: Moshovos, Andreas AM
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Fahad Razak and Amol Verma: 24 shared papers
- Fahad Razak and BO WANG: 2 shared papers
- Fahad Razak and Nicolas Papernot: 1 shared paper
- Amol Verma and BO WANG: 1 shared paper
- Amol Verma and Nicolas Papernot: 1 shared paper
- BO WANG and Nicolas Papernot: 1 shared paper
- General Internal Medicine
- Electrical and Computer Engineering
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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