Joined November 2015
- Tweets 36
- Following 58
- Followers 152
- Likes 113
Photos and videos
Apr 27
Multi-party computation is a compelling example that could support this paper's argument. While a secret-shared lookup table split over two machines light-years apart can reply intelligently to queries from a midpoint, the machines' contents would be seen locally as random noise.
Mar 27
I highly recommend reading The Blind Spot for anyone interested in why observer-independent computation is a category error.
And if you haven't read the preprint yet, you can find it here: philpapers.org/rec/LERTAF
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Feb 2
Privacy-enhancing technologies will not be worthwhile differentiators if users can't confirm apps use them and apps can't credibly advertise them as a feature. Starting today, anyone motivated to help address this gap and to make PETs more competitive can run a Blacklight node.
Nillion Blacklight is a decentralized network that verifies private workloads running on the Blind Computer.
It checks that workloads are running correctly and honestly inside secure enclaves (TEEs), without revealing user data or execution logic.
This verification is done by Blacklight nodes.
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18 Aug 2025
APIs transformed the developer experience by standardizing how apps share and leverage data. However, APIs only indirectly involve and benefit the users who subsidize this ecosystem by contributing their data. BPIs can act as a gradual path towards a more user-centric ecosystem.
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30 Jul 2025
Nearly a decade after the vision was first articulated, a modular web-friendly set of PETs software tools that lets developers disentangle component roles/functions in apps and workflows (thereby allowing them to minimize exposure of user data) is taking shape at @nillion.
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17 Jul 2025
The latest release of @iabtechlab's PAIR standard addresses industry feedback and improves interoperability with digital advertising solutions like @prebidorg, showing that #privacyenhancingtechnologies like #privatesetintersection are finding adoption in real-world workflows.
16 Jul 2025
#IABTechLab is excited to release the latest version of the open PAIR 1.1 protocol! This version clarifies the definitions of several of the terms in the protocol and improves the integration with prebid with a new Open PAIR module. Read more here: okt.to/IXvS7N
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16 Jun 2025
With large enterprises now contributing to the decentralization of @nillion-enabled infrastructure, developers can leverage #privacyenhancingtechnologies like #multipartycomputation and #homomorphicencryption with more confidence and flexibility. forbes.com/sites/digital-ass…
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2 Feb 2024
It's great to see that the @FTC is examining #multipartycomputation and other #privacyenhancingtechnologies in enough detail to articulate some of the challenges associated with deploying them in production (and citing the @BU_Computing/@thebwwc wage equity effort as an example).
While an important tool to prevent intentional or accidental misuse of data, companies making representations about their use of privacy enhancing technologies must continue follow the law and ensure that any privacy representations are accurate: bit.ly/4bn3Ufq
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11 Jul 2023
At @magnite, we adapted #multipartycomputation and #homomorphicencryption cryptographic primitives and protocols to production-scale #digitaladvertising workflows within Magnite Match. We look forward to continuing our work leveraging and developing #privacyenhancingtechnologies.
Welcome to Magnite Match, our next-generation platform that gives publishers and brands a scaled, secure method of matching offline data to a transaction system without requiring them to share their proprietary data. Learn more here: magnite.com/blog/how-magnite…
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16 Jun 2023
It's been exciting to help include the #privatesetintersection #multipartycomputation protocol in @iabtechlab's OPJA standard, adding to the #privacyenhancingtechnology options available to digital advertising firms that want to protect consumers' privacy. youtube.com/watch?v=GbH5nSzG…
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22 Jul 2021
Lessons from @nthparty helping @infutor protect customer data via #privacypreserving #multipartycomputation echo our team's prior work: asynchronous protocol, asymmetric roles, accessible/ubiquitous delivery mechanism. medium.com/nthparty/accessib… #dataprivacy
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14 Dec 2020
After five years of work adapting secure computation to real-world scenarios, we're now at a point where web-based, consumer-facing services/products (and the ecosystems/infrastructures behind them) no longer need to put your sensitive data at risk by unnecessarily decrypting it.
14 Dec 2020
Elevate your marketing & personalization game without having to worry about the associated data breach risks. Don't believe us? Head over to producthunt.com/posts/nth-li… to check it out for yourself! P.S. don't forget to leave us your thoughts in the comments section! @ProductHunt
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Andrei Lapets retweeted
5 Nov 2020
Alliances like the @MPCalliance are critical to getting new technologies adopted and thriving - in the news today: canadianinsider.com/mpc-alli…
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As mentioned by Kinan Dak Albab, JIFF is a new general-purpose MPC framework for web-based applications! It’s highly customizable with a focus on usability. Tutorials and docs available. Look out for the paper & v1 release this February!! github.com/multiparty/jiff #realworldcrypto
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23 Apr 2019
The "Boston Smart City Playbook" by @newurbanmechs has useful "build substantive relationships first" guidance not only for commercial vendors but also researchers and students interested in using technology to address urban challenges: monum.github.io/playbook/
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31 Mar 2019
Validation and its feasibility are common concerns of audiences who newly encounter MPC. Quote: "queries using these privacy-preserving approaches are not subject to diminished quality that would affect the validity or reliability of statistical conclusions."
28 Mar 2019
Privacy-Preserved data sharing for evidence-based policy decisions: A demonstration project using human services administrative records for evidence-building activities bipartisanpolicy.org/library…
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Andrei Lapets retweeted
26 Mar 2019
Our work integrating secure MPC into big data flows premiers at #EuroSys2019 today! Great work by @ms705 @mvaria @andreilapets @bengetch and the team @hicsail @BU_Computing
26 Mar 2019
Today in the first session of #EuroSys2019, Nikolaj Volgushev will present our work on secure multi-party computation over large data with the Conclave query compiler. Check out his talk to see if white smoke rises!
people.csail.mit.edu/malte/p…
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Andrei Lapets retweeted
14 Mar 2019
PhD Candidate & SAIL Fellow Kinan Dak Albab presented at the DIMACS/MACS Workshop on JIFF, a JavaScript framework for deploying MPC applications on web and mobile platforms. | @BU_Computing @BUCompSci
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Andrei Lapets retweeted
11 Jan 2019
Check out this awesome thread for a summary of our team member Lucy Qin's talk on "Deploying MPC for Social Good" at #RealWorldCrypto. | @lcyqn @BU_Computing @BostonWomenWork @Callisto
11 Jan 2019
Next up, "Deploying MPC for Social Good", by Lucy Qin
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