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Eugene Bagdasarian

@ebagdasa.bsky.social
43 followers 50 following 7 posts

Assistant Professor at UMass Amherst CICS, Research Scientist at Google Research. people.cs.umass.edu/~eugene

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Reposted by Eugene Bagdasarian
Emiliano De Cristofaro @emilianodc.com · 27/02/2026
Hey everyone, @ebagdasa.bsky.social and I are rebooting and widening the old prisec-ml seminar series. Give us a follow at @trust-ai-sem.bsky.social and check out our website at: trust-ai-sem.github.io We already have a couple of amazing speakers booked!
trust-ai-sem.github.io
Trustworthy AI Talk Series
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Reposted by Eugene Bagdasarian
Emiliano De Cristofaro @emilianodc.com · 02/03/2026
📣 The first seminar of the Trustworthy AI Seminars will be given by Peter Kairouz on "Context Matters: A New Paradigm for Differentially Private Synthetic Text Generation." 🕰️ Friday, March 6, at 9am PT / 12pm ET / 5pm UK time 🌎 Details, Zoom link, YouTube stream, etc. at trust-ai-sem.github.io
trust-ai-sem.github.io
Trustworthy AI Seminar Series
Trustworthy AI Seminar Series
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Eugene Bagdasarian @ebagdasa.bsky.social · 06/11/2025
Here are my slides: docs.google.com/presentation... . Learn more and comment! #AISec #CCS2025 #Agents #AISecurity #AISafety #ContextualIntegrity 6/6
docs.google.com
AISec'25: Context Rules! Privacy and Security for Future Trustworthy AI Agents
Context Rules! Privacy and Security for Future AI Agents Eugene Bagdasarian AISec Workshop at CCS’25 Notes: Paper links are clickable Leave constructive comments and questions Spread the word if you f...
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Eugene Bagdasarian @ebagdasa.bsky.social · 06/11/2025
Future problems: * HCI/UX designs: How to design new interactions? * Evaluations and datasets: What datasets will enable to accelerate progress? * Social norms: How do we know what is appropriate and not? * Multi-agent systems: When multiple agents interact, who is right? 5/6
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Eugene Bagdasarian @ebagdasa.bsky.social · 06/11/2025
While these problems are unsolvable in general, Contextual Privacy and Security for Agents offer new way to define policies for each situation to mitigate these threats. We can use both Model-level (reasoning) and System-level (reference monitors) designs to operationalize the policies. 4/6
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Eugene Bagdasarian @ebagdasa.bsky.social · 06/11/2025
We can break this into three questions for agents: * Subjectivity of outputs: Does AI-generated text or image have spin or bias? * Reality/ambiguity of inputs: What part of inputs can we trust? * System complexity: What new issues complex reasoning and action plans (research agents) will bring 3/5
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Eugene Bagdasarian @ebagdasa.bsky.social · 06/11/2025
Core idea: agent security isn’t just "can the model do X?", but "should it do X here?" and that answer depends on context. Without contextual policies we either lose in utility or open agents to new attacks. 2/6
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Eugene Bagdasarian @ebagdasa.bsky.social · 06/11/2025
I just gave a keynote at the 18th(!) AI Security workshop CCS'25 in beautiful Taipei. I talked about challenges that future AI agents will face and argued that for defenses we must rely on the context and generate dynamic policies that define what is appropriate to share and do in each context! 1/6
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Reposted by Eugene Bagdasarian
Schmidt Sciences @schmidtsciences.bsky.social · 05/11/2025
We're excited to welcome 28 new AI2050 Fellows! This 4th cohort of researchers are pursuing projects that include building AI scientists, designing trustworthy models, and improving biological and medical research, among other areas.
schmidtsciences.org
Schmidt Sciences awards $18M to researchers working to ensure AI benefits society - Schmidt Sciences
Media Contact: Carlie Wiener; cwiener@schmidtsciences.org                   NEW YORK—Schmidt Sciences announced today that 28 scholars studying how to fulfill AI’s potential to dramatically benefit…
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Eugene Bagdasarian @ebagdasa.bsky.social · 31/10/2025
Wanted to get into Multi-Agent System Safety research? Look no more! Terrarium 🐍 by @masonnaka.bsky.social enables different types of attacks: from misalignment to prompt injection to privacy leakage. Realistic tasks, clear metrics, nice abstractions!
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