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Title | Boris |
Description | Main | Publications | Teaching | Events Boris Köpf About I am a researcher in the Confidential Computing group at Microsoft Research Cambridge, working on |
Keywords | N/A |
WebSite | boriskoepf.de |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
borisbrejcha.de | 4,484,039 |
boris-haenssler.de | 16,838,017 |
borisbull.de | 21,346,736 |
borisbloch.net | 7,471,250 |
Euro€2,204
Zuletzt aktualisiert: 2022-09-21 17:55:55
boriskoepf.de hat Semrush globalen Rang von 13,611,502. boriskoepf.de hat einen geschätzten Wert von € 2,204, basierend auf seinen geschätzten Werbeeinnahmen. boriskoepf.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in - mit der IP-Adresse 185.199.111.153. Laut SiteAdvisor ist boriskoepf.de sicher zu besuchen. |
Kauf-/Verkaufswert | Euro€2,204 |
Tägliche Werbeeinnahmen | Euro€58,406 |
Monatlicher Anzeigenumsatz | Euro€19,836 |
Jährliche Werbeeinnahmen | Euro€1,653 |
Tägliche eindeutige Besucher | 551 |
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. |
Host | Type | TTL | Data |
boriskoepf.de. | A | 3599 | IP: 185.199.111.153 |
boriskoepf.de. | A | 3599 | IP: 185.199.110.153 |
boriskoepf.de. | A | 3599 | IP: 185.199.109.153 |
boriskoepf.de. | A | 3599 | IP: 185.199.108.153 |
boriskoepf.de. | NS | 3600 | NS Record: ns82.domaincontrol.com. |
boriskoepf.de. | NS | 3600 | NS Record: ns81.domaincontrol.com. |
Main | Publications | Teaching | Events Boris Köpf About I am a researcher in the Confidential Computing group at Microsoft Research Cambridge, working on techniques for tracking information flow in microarchitecture and machine learning systems. Prior to joining MSR in November 2018, I was a tenured faculty at the IMDEA Software Institute, a postdoc at the Max Planck Institute for Software Systems, and a Ph.D. student at ETH Zurich. Recent Work Bayesian Estimation of Differential Privacy (arXiv) [ pdf ] Revizor: Testing Black-box CPUs against Speculation Contracts (ASPLOS ’22) [ pdf ] Grey-box Extraction of Natural Language Models (ICML ’21) [ pdf ] Hardware-Software Contracts for Secure Speculation (S&P ’21) [ pdf ] Analyzing Information Leakage of Updates to Natural Language Models (CCS ’20) [ pdf ] CacheQuery: Learning Replacement Policies from Hardware Caches (PLDI ’20) [ pdf ] Spectector: Principled Detection of Speculative Information Flows (S&P ’20) [ pdf ][ www ] Theory and |
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