Eugene Bagdasarian @ebagdasa
Challenge AI security and privacy practices. Asst Prof at UMass @manningcics. Researcher at @GoogleAI. he/him 🇦🇲 (opinions mine) people.cs.umass.edu/~eugene/ Amherst, MA Joined April 2014-
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Future is extremely vulnerable to manipulation --> while current events have ground truth, something that is yet to happen (location of event, future candidates, product names) can be easily manipulated. Great example by @kfountou, was it intentional 🤔? x.com/kfountou/statu…
Future is extremely vulnerable to manipulation --> while current events have ground truth, something that is yet to happen (location of event, future candidates, product names) can be easily manipulated. Great example by @kfountou, was it intentional 🤔? x.com/kfountou/statu… https://t.co/jXt5TdbkrL
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Feeling proud for surrealists 🥹 -- the deeper meaning of these paintings is really hard to extract with simple safety classifiers
Feeling proud for surrealists 🥹 -- the deeper meaning of these paintings is really hard to extract with simple safety classifiers
Eugene Bagdasarian retweeted
𝗧𝘂𝗿𝗻𝘀 𝗼𝘂𝘁 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝘀𝗮𝘆 𝘁𝗵𝗲 𝗹𝘆𝗿𝗶𝗰𝘀 — just 𝘴𝘰𝘶𝘯𝘥 like them. Our new phonetic attack shows that music and video generators like 𝚂𝚄𝙽𝙾, 𝚈𝚞𝙴, and 𝚅𝚎𝚘 𝟹 memorize songs through 𝙝𝙤𝙢𝙤𝙥𝙝𝙤𝙣𝙞𝙘 𝙨𝙝𝙖𝙙𝙤𝙬𝙨 — regurgitating…
𝗧𝘂𝗿𝗻𝘀 𝗼𝘂𝘁 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝘀𝗮𝘆 𝘁𝗵𝗲 𝗹𝘆𝗿𝗶𝗰𝘀 — just 𝘴𝘰𝘶𝘯𝘥 like them. Our new phonetic attack shows that music and video generators like 𝚂𝚄𝙽𝙾, 𝚈𝚞𝙴, and 𝚅𝚎𝚘 𝟹 memorize songs through 𝙝𝙤𝙢𝙤𝙥𝙝𝙤𝙣𝙞𝙘 𝙨𝙝𝙖𝙙𝙤𝙬𝙨 — regurgitating…
Filtering names w LLMs is easy, right? Plenty of privacy solutions out there claiming how well things work. However, our paper led by @dzungvietpham shows that things get tricky once we go to rare names in ambiguous contexts -- which could result in real harm if overlooked.
Filtering names w LLMs is easy, right? Plenty of privacy solutions out there claiming how well things work. However, our paper led by @dzungvietpham shows that things get tricky once we go to rare names in ambiguous contexts -- which could result in real harm if overlooked.
Thanks @niloofar_mire for moderating the session 😀! Thanks @EarlenceF, @jhasomesh , @christodorescu for organizing this awesome SAGAI workshop (and also inviting me, haha)!
Thanks @niloofar_mire for moderating the session 😀! Thanks @EarlenceF, @jhasomesh , @christodorescu for organizing this awesome SAGAI workshop (and also inviting me, haha)!
Eugene Bagdasarian retweeted
Our @IEEESSP SAGAI workshop on systems-oriented security for AI agents has speaker details (abs/bio) on the website now: sites.google.com/ucsd.edu/sagai… We look forward to seeing you in San Francisco on May 15! As a reminder, we are running this "Dagstuhl" style - real discussions.
I am looking for a postdoc to work on multi-agent safety problems, if you are interested or know anyone let me know: forms.gle/NFuYLKj53fVwdW…
Amazing forward-looking paper on how collaboration could be done where you and I have different perspectives.
Amazing forward-looking paper on how collaboration could be done where you and I have different perspectives.
Eugene Bagdasarian retweeted
The Privacy Preserving AI workshop is back! And is happening on Monday. I am excited about our program and lineup of invited speakers! I hope to see many of you there: ppai-workshop.github.io
Eugene Bagdasarian retweeted
(1/n) In our #ICLR2025 paper, we explore a fundamental issue that enables prompt injections: 𝐋𝐋𝐌𝐬’ 𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐬𝐞𝐩𝐚𝐫𝐚𝐭𝐞 𝐢𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐫𝐨𝐦 𝐝𝐚𝐭𝐚 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐢𝐧𝐩𝐮𝐭 ✅ Definition of separation 👉 SEP Benchmark 🔍 LLM evals on SEP
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