Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mathias Lecuyer"'
Autor:
Aleksandrs Slivkins, Junchen Jiang, Amit Sharma, Sang Hoon Kim, Mihir Nanavati, Mathias Lecuyer, Sercan Sen
Publikováno v:
SoCC
We observe that many system policies that make threshold decisions involving a resource (e.g., time, memory, cores) naturally reveal additional, or implicit feedback. For example, if a system waits X min for an event to occur, then it automatically l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25948d8159e085e286260fe04124e264
Publikováno v:
IEEE Security & Privacy. 16:34-42
Today’s companies collect immense amounts of personal data and enable wide access to it within the company. This exposes the data to external hackers and privacy-transgressing employees. This study shows that, for a wide and important class of work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c25bdb0eea3db9192af875ac0406a3
https://doi.org/10.1109/msp.2018.1331036
https://doi.org/10.1109/msp.2018.1331036
Publikováno v:
IEEE Symposium on Security and Privacy
Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed in a tight back-and-forth. Most past defenses are best effort and hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817fc0ac701e3274a71477f7b4429419
http://arxiv.org/abs/1802.03471
http://arxiv.org/abs/1802.03471
Autor:
Sercan Sen, Lamont Nelson, Amit Sharma, Joshua Lockerman, Mathias Lecuyer, Aleksandrs Slivkins
Publikováno v:
HotNets
We view randomization through the lens of statistical machine learning: as a powerful resource for offline optimization. Cloud systems make randomized decisions all the time (e.g., in load balancing), yet this randomness is rarely used for optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69e26809de935e12370f362ffd70c9a8
https://doi.org/10.1145/3152434.3152435
https://doi.org/10.1145/3152434.3152435
Publikováno v:
IEEE Symposium on Security and Privacy
Protecting vast quantities of data poses a daunting challenge for the growing number of organizations that collect, stockpile, and monetize it. The ability to distinguish data that is actually needed from data collected "just in case" would help thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2ee281a354a5d21bfe611409ee77c63
http://arxiv.org/abs/1705.07512
http://arxiv.org/abs/1705.07512
Publikováno v:
WWW (Companion Volume)
The idealistic beginnings of the sharing economy made ways to an entrenched battle to win over the public opinion and for law makers to appreciate its benefits and its risks. The stakes are high as the success of services like Airbnb reveals that und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ce10eec6fa9700d5d6ae5819a2e1350
https://doi.org/10.1145/3041021.3055136
https://doi.org/10.1145/3041021.3055136
Autor:
Yannis Spiliopolous, Riley Spahn, Roxana Geambasu, Mathias Lecuyer, Augustin Chaintreau, Daniel Hsu
Publikováno v:
ACM Conference on Computer and Communications Security
We present Sunlight, a system that detects the causes of targeting phenomena on the web -- such as personalized advertisements, recommendations, or content -- at large scale and with solid statistical confidence. Today's web is growing increasingly c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f83392a2f14c18ccc330919e4688a46
https://doi.org/10.1145/2810103.2813614
https://doi.org/10.1145/2810103.2813614
Publikováno v:
EuroSys
The growing demand for data-driven features in today's Web applications -- such as targeting, recommendations, or predictions -- has transformed those applications into complex conglomerates of services operating on each others' data without a cohere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e9fb6cb02212c54bbc55a30581a1b5
https://doi.org/10.1145/2741948.2741975
https://doi.org/10.1145/2741948.2741975
Autor:
Augustin Chaintreau, Monica S. Lam, Mathias Lecuyer, Chris Haseman, Madeline K.B. Ross, Susan E. McGregor, Kanak Biscuitwala, T.J. Purtell, Willem Bult
Publikováno v:
SIGCOMM
Kanak Biscuitwala kanak@cs.stanford.edu Willem Bult wbult@stanford.edu Mathias Lecuyer† ml3302@columbia.edu T.J. Purtell tpurtell@cs.stanford.edu Madeline K.B. Ross‡ mkr2132@columbia.edu Augustin Chaintreau† augustin@cs.columbia.edu Chris Hasem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c54ebf85920f1ddd71b9542ea408e61
https://doi.org/10.1145/2486001.2491697
https://doi.org/10.1145/2486001.2491697