Aashish Kolluri @aashishkolluri6
Researcher @ Microsoft Research Cambridge, building Trustworthy AI systems. All opinions here are solely mine. aashishkolluri.github.io Joined June 2014-
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RT to help Simon raise awareness of prompt injection attacks in LLMs. Feels a bit like the wild west of early computing, with computer viruses (now = malicious prompts hiding in web data/tools), and not well developed defenses (antivirus, or a lot more developed kernel/user…
RT to help Simon raise awareness of prompt injection attacks in LLMs. Feels a bit like the wild west of early computing, with computer viruses (now = malicious prompts hiding in web data/tools), and not well developed defenses (antivirus, or a lot more developed kernel/user…
Looking to pursue a Ph.D. in Computer Science at one of India's top institutes? 📢 CSE IIT Delhi invites passionate researchers to apply for our Ph.D. program! Join us in advancing cutting-edge research in AI, quantum computing, systems, security, theoretical computer science,…
I'm thrilled to start Invariant Labs with amazing colleagues from @CSatETH. Our ambition is to build AI agents that solve challenging tasks securely and reliably. Since most of my research has focused on *breaking* ML I'm excited to apply this knowledge to build better systems!
I'm thrilled to start Invariant Labs with amazing colleagues from @CSatETH. Our ambition is to build AI agents that solve challenging tasks securely and reliably. Since most of my research has focused on *breaking* ML I'm excited to apply this knowledge to build better systems!
🥁 It's time to meet another Flower SoR contributor 💪 @aashishkolluri6, Ph.D. student @NUSingapore, implemented "#federatedlearning on Non-IID Data Silos: An Experimental Study" 👏 ☀️ 🆕 Flower Baseline: buff.ly/47SWfD4 📑 Original Paper buff.ly/3uB98TS
A neural network can smell like humans do for the first time!👃🏽 Digital smell is a modality that AI community has long ignored, but maybe one day useful for robot chef 👩🏽🍳? Here's how to do smell2text: 1. Collected 5,000 molecules and ask humans to label "creamy, chocolate,…
Here's a recap of some recent ChatGPT events that, even if you don't care about the moral dimensions, should give investors concern about pumping funds into a new technology that may soon be facing serious legal actions:
Glad to be part of the winning team from the UK! Our effort at the PETs prize challenge is an embodiment of everything that makes me love working in the labs team at @privitarglobal
Glad to be part of the winning team from the UK! Our effort at the PETs prize challenge is an embodiment of everything that makes me love working in the labs team at @privitarglobal
You’d think this is a joke until you get them. ChatGPT could probably give better reviews at this point. Oh, may be we can train LLMs for reviewing?
TikTok users feel its algorithm is eerily accurate. But from everything we know about the algorithm, it's a pretty standard recommender system of the kind that every major social platform uses. TikTok's real innovation is something else. Just posted: knightcolumbia.org/blog/tiktoks-s…
System design is the most challenging and exciting type of tech interview. Here is a complete list of topics that will help you get ready: {0/18} ↓
Can you get a good utility-privacy tradeoff when you want to learn graph neural networks and keep the edges private? @aashishkolluri6 gave a great talk @acm_ccs about LPGNet, a new graph architecture that achieves it. Check out our paper on arxiv! arxiv.org/abs/2205.03105
Just want to highlight that this very cool work was based out of the Google Brain *Toronto* team. Always awesome to see world-class work out of the Ontario ML ecosystem.
Just want to highlight that this very cool work was based out of the Google Brain *Toronto* team. Always awesome to see world-class work out of the Ontario ML ecosystem.
Congrats to @ElaineRShi, Bryan Parno, @Zardus, Sang Kil Cha, Manuel Egele, and others for being listed among the most influential S&P researchers! aminer.cn/ai2000?domain_…
Congratulations to Jinyoung Park and Huy Pham for proving the Kahn-Kalai conjecture---a central open problem in probabilistic combinatorics. Truly exciting breakthrough! arxiv.org/abs/2203.17207 The story of Jinyoung's extraordinary path to mathematics: youtube.com/watch?v=7H2Yvx…
🚨 We analyzed in @NatureComms the guarantees of an anonymous “Differentially Private” mobility dataset of 300M @googlemaps users shared with researchers. We believe these guarantees to be based on assumptions that are not met in practice. A thread 🧵nature.com/articles/s4146…

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