Ben Zhao

They basically generate the sound that's necessary to jam themselves. When we first came out with this thing, a lot of people were very excited, privacy advocates, public figures who were very concerned, not necessarily about their own Alexa, but the fact that they had to walk in to public places all the time.

They basically generate the sound that's necessary to jam themselves. When we first came out with this thing, a lot of people were very excited, privacy advocates, public figures who were very concerned, not necessarily about their own Alexa, but the fact that they had to walk in to public places all the time.

You're really trying to prevent that hidden microphone eavesdropping on a private conversation.

You're really trying to prevent that hidden microphone eavesdropping on a private conversation.

You're really trying to prevent that hidden microphone eavesdropping on a private conversation.

Fox is a fun one. In 2019, I was brainstorming about some dangers that we have in the future. And this is not even generative AI. This is just sort of classification and facial recognition. One of the things that we came up with was this idea that AI is going to be everywhere and therefore anyone can train any model and therefore people can basically train models of you.

Fox is a fun one. In 2019, I was brainstorming about some dangers that we have in the future. And this is not even generative AI. This is just sort of classification and facial recognition. One of the things that we came up with was this idea that AI is going to be everywhere and therefore anyone can train any model and therefore people can basically train models of you.

Fox is a fun one. In 2019, I was brainstorming about some dangers that we have in the future. And this is not even generative AI. This is just sort of classification and facial recognition. One of the things that we came up with was this idea that AI is going to be everywhere and therefore anyone can train any model and therefore people can basically train models of you.

At the time, it was not about deep fakes. It was about surveillance. And what would happen if people just went online, took your entire internet footprint, which of course today is massive, scrape all your photos from Facebook and Instagram and LinkedIn, and then build this incredibly accurate facial recognition model of you without your knowledge, much less permission.

At the time, it was not about deep fakes. It was about surveillance. And what would happen if people just went online, took your entire internet footprint, which of course today is massive, scrape all your photos from Facebook and Instagram and LinkedIn, and then build this incredibly accurate facial recognition model of you without your knowledge, much less permission.

At the time, it was not about deep fakes. It was about surveillance. And what would happen if people just went online, took your entire internet footprint, which of course today is massive, scrape all your photos from Facebook and Instagram and LinkedIn, and then build this incredibly accurate facial recognition model of you without your knowledge, much less permission.

And we built this tool that basically allows you to alter your selfies, your photos, in such a way that it made you look more like someone else than yourself.

And we built this tool that basically allows you to alter your selfies, your photos, in such a way that it made you look more like someone else than yourself.

And we built this tool that basically allows you to alter your selfies, your photos, in such a way that it made you look more like someone else than yourself.

Only in the version when it's being used to build a model against you. But the funny part was that we built this technology, we wrote the paper, and on the week of submission, this was 2020, we were getting ready to submit that paper. I remember it distinctly. That was when Cashmere Hill at the New York Times came out with her story on Clearview AI.

Only in the version when it's being used to build a model against you. But the funny part was that we built this technology, we wrote the paper, and on the week of submission, this was 2020, we were getting ready to submit that paper. I remember it distinctly. That was when Cashmere Hill at the New York Times came out with her story on Clearview AI.

Only in the version when it's being used to build a model against you. But the funny part was that we built this technology, we wrote the paper, and on the week of submission, this was 2020, we were getting ready to submit that paper. I remember it distinctly. That was when Cashmere Hill at the New York Times came out with her story on Clearview AI.

And that was just mind-blowing because I had been talking to our students for months about having to build for this dark scenario. And literally, here's the New York Times saying, yeah, this is today and we are already in it. That was disturbing on many fronts, but it did make writing the paper a lot easier. We just cited the New York Times article and said, here it is already.

And that was just mind-blowing because I had been talking to our students for months about having to build for this dark scenario. And literally, here's the New York Times saying, yeah, this is today and we are already in it. That was disturbing on many fronts, but it did make writing the paper a lot easier. We just cited the New York Times article and said, here it is already.

And that was just mind-blowing because I had been talking to our students for months about having to build for this dark scenario. And literally, here's the New York Times saying, yeah, this is today and we are already in it. That was disturbing on many fronts, but it did make writing the paper a lot easier. We just cited the New York Times article and said, here it is already.