Google AI ModeSep 24, 2026
CleverHans : Developed primarily by researchers at UOT/Google, it is a classic library focused on benchmarking and building adversarial robustness
Data as of Oct 14, 2026Based on 37,007 AI responses
Reviewed by Dimitry Apollonsky
AI summary
CleverHans is a research lab led by Prof. Nicolas Papernot at the University of Toronto and the Vector Institute that focuses on the security and privacy of machine learning systems.
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of 37,007 answers across CleverHans’s markets · since Jul 5
The market map
AI Red Teaming ServicesMentioned in
Share of answers in AI Red Teaming Services each week · 452 answers since Jul 5
Each engine’s share of its own answers across CleverHans’s markets · since Jul 5
Common descriptions
widely used · classic · open-source · research-based library · research-oriented
Rank
Where CleverHans ranks in AI
Question: We are preparing to defend against adversarial attacks on images. Who offers robust model training?
Google AI ModeSep 20, 2026
CleverHans : A foundational Python library developed by research scientists (originally at OpenAI ) to benchmark and build adversarial example defenses.
Question: We are testing our model against adversarial attacks. Who provides "stress testing" for classifiers?
Google AI ModeSep 11, 2026
CleverHans: An open-source library built specifically to benchmark machine learning systems' vulnerability to adversarial examples
cleverhans.io 0%Other sites 100%
Excerpts where CleverHans appeared in the AI's answer
CleverHans: An open-source library built specifically to benchmark machine learning systems' vulnerability to adversarial examples
CleverHans: A classic Python library built for benchmarking adversarial vulnerability in machine learning models.
Excerpts where CleverHans appeared in the AI's answer
CleverHans : Developed primarily by researchers at UOT/Google, it is a classic library focused on benchmarking and building adversarial robustness
CleverHans : A foundational Python library developed by research scientists (originally at OpenAI ) to benchmark and build adversarial example defenses.