Archive for contextual integrity

JSM 2024, Portland, miniday 4

Posted in Books, pictures, Running, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , , , , , , , , , , , , , on August 11, 2024 by xi'an

Final (half)day at JSM is always a sad thing as most people have left, people are busy dismantling booths and packing boxes, and the few remaining participants are fidgety and sitting on their suitcases (there may have been more suitcases than people in the main area that day!), cafés are minimally staffed or simply closed. Hence not the best time-slot to deliver one’s talk! Still, a few dozen people attended our session. The session topic was Bridge the Gap: Differential Privacy and Statistical Analysis, organised by Bei Jiang whom I met last summer in Kelowna, at a BIRS workshop on privacy. Where I spoke on setting up a complete decision-theoretic framework, as developed (and still in development) within our Ocean group, esp. Joshua Bon, Stan du Ché, and Judith Rousseau. (Rather than on the original plan of talking about convergence versus privacy, as a criticism of differential privacy.) The other talks were by Shurong Li, strongly set with differential privacy when record linkage is present, and Xuan Bi on a fully decentralised federated learning with local exchanges of global gradients that limit privacy leaks. (With a mention of gossip learning I hadn’t seen previously!)

I enjoyed even more the session due to Naisyin Wang giving a discussion on the three talks, in  closes the particular because I had not seen her in years, if a few times since she was my teaching assistant in Cornell in a Bayesian decision theory class I was building on the spot (with Linda Zhao as a student!). Which nicely closes the loop given the topic of my talk, of which she was quite supportive! While calling for debiasing post-processing and wondering about a two-dimensional decision theoretic perspective rather than a unidimensional one under hard privacy constraints.

On the way out, after parting from the few friends remaining in the convention centre, I spotted the nearby (steel) bridge being raised, although I could not see the boat responsible for it. I had been unaware of this possibility while running over and under it, as well as swimming thrice under it. And we left Portland in the early afternoon, heading for Seattle and a celebration of Adrian Raftery’s career.

23w5106 [group picture]

Posted in Mountains, pictures, Travel, University life with tags , , , , , , , on August 27, 2023 by xi'an

Contextual Integrity for Differential Privacy #4 [23w5106]

Posted in Books, Mountains, pictures, Running, Statistics, Travel, University life, Wines with tags , , , , , , , , , , , , , , , , , , , , , , , , , , on August 5, 2023 by xi'an

Mostly short talks. First talk by Thomas Seinke (Google) on interpreting ε, with a side wondering of mine on the relation between exp(ε) and the uncertainty that comes with Monte Carlo outcome. Which may relate to this 2022 paper by Ruobin Gong. Second talk by Gautam Kamath (U Waterloo) on large language models under privacy with “public” data. Questioning the appropriateness of ML benchmarks in terms of privacy. Third talk by Mark Bun (Boston U) on replicability, privacy and adaptive generalisation in machine learning, with a strange criticism of confidence intervals on the same parameter not intersecting for two independent studies. And proposing high probability replicable algorithms that can be put in duality with differentially private algorithms at the cost of lowering precision and effective sample size. We also had another group discussion on how to reach out about privacy guarantees, which made me realise there were GDPR compliance software available.

In the afternoon session, Shlomi Hod (Boston U) presented a practical case of designing a privacy preserving protocol for the Israeli birth record. With a strong opposition from stakeholders to use synthetic data, due to a semantic drift from synthetic to manipulated to fake, to lying. Wanrong Zhang did not talk about her stunning recent ICML paper but instead of another practical case connected with mobile based Covid case predictions, by adding minimal noise to mobility data. Nidhi Hegde (U Alberta) gave up talking on Thomson sampling with privacy protection, to focus on an ongoing health application for Alberta as more suited for the workshop. And Ria Safavi-Naini (U Calgary) drew a parallel between information theory and DP versus CI.

While the workshop was scheduled till Friday noon, in usual BIRS habits (!), the morning session was cancelled for most people leaving Kelowna in the morning.

Contextual Integrity for Differential Privacy #3 [23w5106]

Posted in Books, Mountains, pictures, Running, Statistics, Travel, University life, Wines with tags , , , , , , , , , , , , , , , , , , , , , , , , , , , , on August 4, 2023 by xi'an

Morning of diverse short talks. First talk by Bei Jiang (Edmonton) on locally processed privacy for quantile estimation, which relates very much to our ongoing research with Stan, who is starting his ERC funded PhD on privacy. Randomised response, in having a positive probability of replacing indicators in the empirical cdf by a random or perturbed version whose bias can be corrected. I may have overdone the similarity though in confusing users with agents. Followed by a hacking foray by Joel Reardon (Calgary) into how much information is transmitted by apps on completely unrelated phone activity. (Moral: Never send a bug report.)

The afternoon break saw us visiting the Frind Estate winery on the other side of the lake. Meaning not only wine tasting (great Syrah!), and discovering an hybrid grape called Maréchal Foch, but also entering the lab with its mass spectrometer. (But no glimpse of the winemaking process per se…)

Contextual Integrity for Differential Privacy #2 [23w5106]

Posted in Books, Mountains, pictures, Running, Statistics, Travel, University life, Wines with tags , , , , , , , , , , , , , , , , , , , , , , , on August 3, 2023 by xi'an

Morning of diverse short talks. First one on What are the chances? Explaining ε towards endusers by presenting odds and illustrating the impact of including one potential user’s data. Then one on re-placing DP within CI in terms of causality. And multi-agent models, illustrated by the Cambridge Analytics scandal. I am still not getting the point of the CI perspective which sounds to me like an impossibility theorem. A bit as if Statistics had stopped at “All models are wrong” (as Keynes did, in a way). And a talk on Uses & misuses of DP inference, with nice drawings explaining that publicly available information (eg, smoking causes cancer) may create breaches of privacy (Alice may have cancer). Last talk of the morning on framing effects as privileging data processors and overly technical? Fundamental law of information privacy? Got me wondering about the lack (?) of dynamic perspective so far, in the (simplistic?) sense that DP does not seem to account for potential breaches were a secondary dataset to become available with shared subjects and record linkage. (A bit of a go at GDPR, for the second time within a week.)

Before, I had a rather nice early morning in woods on top of Okanagan Lake, crossing many white tailed deer, hopefully no ticks!, as well as No trespassing signs. And a quick and c…ool swim in the Lake 20⁰ waters. No sign of the large wildfires raging south in Osoyoos or north in Kalmoops. We had a fantastic lunch break at the nearby Arrowleaf Cellars winery, with a stellar pinot noir, although this rather made the following working session harder to engage with (not mentioning the lingering jetlag)!