The Laboratorium (3d ser.) | A blog by James Grimmelmann.
Gowthami Somepalli's webpage
Backdoors in Deep Learning
NeurIPS 2024 Workshop on Red Teaming GenAI: What Can We Learn from Adversaries?
Description: Webpage of Jonas Geiping. Based on [*folio](https://github.com/bogoli/-folio) design.
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Hello, I’m Jonas. I work in computer science as postdoctoral researcher at the University of Maryland, College Park. My background is in Mathematics, more specifically in mathematical optimization and I am interested in research that intersects current deep learning and mathematical optimization in general, but also in the implications of optimization in machine learning for the design of secure and private ML systems.
As such I’ve done work ranging from understanding the impact of optimization on fundamental phenomena behind generalization in deep learning, to practical optimization strategies that show vulnerabilities in user privacy for federated learning.
You can find code for our research here: github.com/JonasGeiping
The Laboratorium (3d ser.) | A blog by James Grimmelmann.
Gowthami Somepalli's webpage
Backdoors in Deep Learning
NeurIPS 2024 Workshop on Red Teaming GenAI: What Can We Learn from Adversaries?