narayanan

Arvind Narayanan had a more fun and illustrative example last year: Narayanan says he has succeeded in executing an indirect prompt injection with Microsoft Bing, which uses GPT-4, OpenAI’s newest language model.

Aravind Narayanan seems to be the only guy qualified enough to be called an expert.

Dont forget KR Narayanan who refused to sign if proper procedures were not followed showing that President is not just a rubber stamp.

One of the best examples I can cite is the Madurai based chef-turned social worker, Narayanan Krishnan.

Had Narayanan and Shmatikov not been restricted by academic ethical standards (not to mention moral compunction), they might have connected people to harm themselves.

My close family members have undergone major heart surgery at Narayanan Hrudyalaya.

Sometimes I feel like I'm losing my mind when it's obvious that GPT-5 could do better than Narayanan and Kapoor did in their paper at understanding historical analogies.

I've long wondered who Seetharaman Narayanan is.

An '08 paper from Arvind Narayanan and Vitaly Shmatikov at the University of Texas at Austin showed that, in a large dataset, the combination of a large number of transactions could be used to de-anonymize individuals.

After looking at what everyone has been saying, I just felt like copying and pasting my 20 page literature review here, but I'd recommend you look at narayanan at all (2012) paper (internet scale authorship attribution).

Anant Narayanan has been using a mechanism like this as an example in WebRTC spec discussions - basically a distributed-hash signaling layer (if you will, a self-healing incomplete mesh used to connect nodes for signaling a webrtc call) - and the distributed hash mesh could be a mesh of WebRTC connections with datachannels (no media).

It doesn't mean AI itself isn't special (arguable, in fact Narayanan precisely argue it's "normal") but rather than adoption pace is precisely on track with everything else.

Anyone interested to learn more about it, I recommend the recent book "AI Snake Oil" from Arvind Narayanan and Sayash Kapoor [1].

It's like constantly being botsmacked by bureaucracy incarnate." Workday's success is 100% explained by Arvind Narayanan's hypothesis that enterprise software is like baby clothing.[a] If I may quote him: "There are two types of baby outfits.

While products employing generative AI are “immature, unreliable, and prone to misuse,” Narayanan and Kapoor write, those using predictive AI “not only [do] not work today but will likely never work.” 1.

Narayanan's and Shmatikov's de-anonymization algorithm is surprisingly robust, and works with partial data, data that has been perturbed, even data with errors in it.

Narayanan's article is valuable, but I think he's far out in front of public policy.

Narayanan (who was made the president of India), there are lakhs and lakhs of untold unspeakable cruelty and suffering and that is the true ratio.