Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Bas
Machine learning models are increasingly adapted in various domains. However, adversarial examples pose a significant threat to the reliable deployment of these models. In recent years, some powerful adversarial example attacks have been pr
https://arxiv.org/abs/2607.14921v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↑ improving
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Correct facts used on the next screening or memo.
People
H
Hamid Dashtbani
2.0
low confidence
M
Mehdi Dousti Gandomani
2.0
low confidence
A
AmirMahdi Sadeghzadeh
2.0
low confidence
Activity & evidence
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