Trustworthy ML Initiative (TrustML) (@trustworthy_ml) 's Twitter Profile
Trustworthy ML Initiative (TrustML)

@trustworthy_ml

Latest research in Trustworthy ML. Organizers: @JaydeepBorkar @sbmisi @hima_lakkaraju @sarahookr Sarah Tan @chhaviyadav_ @_cagarwal @m_lemanczyk @HaohanWang

ID: 1262375165490540549

linkhttps://www.trustworthyml.org calendar_today18-05-2020 13:31:24

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Konrad Rieck 🌈 (@mlsec) 's Twitter Profile Photo

We're excited to announce the Call for Papers for SaTML 2026, the premier conference on secure and trustworthy machine learning SaTML Conference We seek papers on secure, private, and fair learning algorithms and systems. šŸ‘‰ satml.org/call-for-paper… ā° Deadline: Sept 24

We're excited to announce the Call for Papers for SaTML 2026, the premier conference on secure and trustworthy machine learning <a href="/satml_conf/">SaTML Conference</a>

We seek papers on secure, private, and fair learning algorithms and systems.

šŸ‘‰ satml.org/call-for-paper…
ā° Deadline: Sept 24
Umang Bhatt (@umangsbhatt) 's Twitter Profile Photo

We’re hosting a Deep Learning Indaba workshop: Human-AI Interaction for the Global Majority šŸ¤šŸ¾ Come join us in Kigali this August — details on how to submit can be found below! We’ll be joined by Kush Varshney ą¤•ą„ą¤¶ ą¤µą¤¾ą¤°ą„ą¤·ą„ą¤£ą„‡ą¤Æ of IBM Research and Anicia Peters of NCRST šŸ™ŒšŸ¾ #DLI2025 #Indaba2025

Stephan Rabanser (@steverab) 's Twitter Profile Photo

Trustworthy ML Initiative (TrustML) ICML Conference We have some cool work on manipulating model uncertainty / model abstention mechanisms and reliably detecting when such tampering occurs via zero knowledge proofs! x.com/steverab/statu…

AngƩline Pouget (@angelinepouget) 's Twitter Profile Photo

Trustworthy ML Initiative (TrustML) ICML Conference We're presenting the suitability filter, a framework to detect classifier performance degradation without access to ground truth labels: x.com/angelinepouget…

Augustin Godinot (@augodinot) 's Twitter Profile Photo

Trustworthy ML Initiative (TrustML) ICML Conference Current incentives for "Trustwortyness" are reputational. Thus, models developers only need to fake it. We present a research direction to prevent this: x.com/augodinot/stat…