Online anonymity has always relied on "practical obscurity" — the idea that deanonymization is possible but too costly to do at scale. We show this assumption no longer holds. LLMs make it cheap, fast, and automated. Not sure what to do about this...

Daniel Paleka@dpaleka.bsky.social · 9mo ago

Can LLMs figure out who you are from your anonymous posts? From a handful of comments, LLMs can infer where you live, what you do, and your interests; then search for you on the web. New 📄 w/ @SimonLermenAI, @joshua_swans, @AerniMichael, Nicholas Carlini, @florian_tramer 🧵

Recent LLM forecasters are getting better at predicting the future. But there's a challenge: How can we evaluate and compare AI forecasters without waiting years to see which predictions were right? (1/11)

I am in beautiful Vancouver for #NeurIPS2024 with those amazing folks! Say hi if you want to chat about ML privacy and security (or speciality ☕)

Javier Rando@javirandor.com · 2y ago

SPY Lab is in Vancouver for NeurIPS! Come say hi if you see us around 🕵️

🔥 I'm thrilled that I'll be spending next year in the group of @floriantramer.bsky.social at ETH Zurich, working on privacy and memorization in ML 🔥 (Not an announcement, just what I usually do. It's a really great group full of incredibly amazing people that I am thrilled to work with every day!)

@floriantramer.bsky.social · 2y ago

Come do open AI with us in Zurich! We're hiring PhD students, postdocs (and faculty!)

If it's curated by @javirandor.com then you know it's amazing!

Javier Rando@javirandor.com · 2y ago

I am curating a list of researchers working on AI Safety and Security here go.bsky.app/BcjeVbN. Reply to this post with your user or other people you think should be included!

Zurich is a great place to live and do research. It became a slightly better one overnight! Excited to see OAI opening an office here with such a great starting team 🎉

Alexander Kolesnikov@handle.invalid · 2y ago

Ok, it is yesterdays news already, but good night sleep is important. After 7 amazing years at Google Brain/DM, I am joining OpenAI. Together with @xzhai.bsky.social and @giffmana.ai, we will establish OpenAI Zurich office. Proud of our past work and looking forward to the future.

Ensemble Everything Everywhere is a defense against adversarial examples that people got quite exited about a few months ago (in particular, the defense causes "perceptually aligned" gradients just like adversarial training) Unfortunately, we show it's not robust... arxiv.org/abs/2411.14834

Gradient Masking All-at-Once: Ensemble Everything Everywhere Is Not Robust

Ensemble everything everywhere is a defense to adversarial examples that was recently proposed to make image classifiers robust. This defense works by ensembling a model's intermediate representations...

arxiv.org