Zobrazeno 1 - 6
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pro vyhledávání: '"Bird, Sarah A."'
Advancements in digital technologies have a bootstrapping effect. The past fifty years of technological innovations from the computer architecture community have brought innovations and orders-of-magnitude efficiency improvements that engender use ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7393d5cd67453719563c201e4e1df169
http://arxiv.org/abs/2108.06738
http://arxiv.org/abs/2108.06738
Autor:
Bird, Sarah, Mishra, Vikas, Englehardt, Steven, Willoughby, Rob, Zeber, David, Rudametkin, Walter, Lopatka, Martin
As online tracking continues to grow, existing anti-tracking and fingerprinting detection techniques that require significant manual input must be augmented. Heuristic approaches to fingerprinting detection are precise but must be carefully curated.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c5d530b256fd065b4d57114bfc2eb5c
https://inria.hal.science/hal-03297181
https://inria.hal.science/hal-03297181
Autor:
Bird, Sarah
Tracking scripts can use the sourceURL directive to mask their origin from developer tools and tools that use the same JS call stack and network stack information. Firefox and Chromium appear to be affected. Firefox 78 now includes a preference to di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd53572a756d34445f3256efd83cd013
http://arxiv.org/abs/2005.10392
http://arxiv.org/abs/2005.10392
Autor:
Ratner, Alexander, Alistarh, Dan, Alonso, Gustavo, Andersen, David G., Bailis, Peter, Bird, Sarah, Carlini, Nicholas, Catanzaro, Bryan, Chayes, Jennifer, Chung, Eric, Dally, Bill, Dean, Jeff, Dhillon, Inderjit S., Dimakis, Alexandros, Dubey, Pradeep, Elkan, Charles, Fursin, Grigori, Ganger, Gregory R., Getoor, Lise, Gibbons, Phillip B., Gibson, Garth A., Gonzalez, Joseph E., Gottschlich, Justin, Han, Song, Hazelwood, Kim, Huang, Furong, Jaggi, Martin, Jamieson, Kevin, Jordan, Michael I., Joshi, Gauri, Khalaf, Rania, Knight, Jason, Konečný, Jakub, Kraska, Tim, Kumar, Arun, Kyrillidis, Anastasios, Lakshmiratan, Aparna, Li, Jing, Madden, Samuel, McMahan, H. Brendan, Meijer, Erik, Mitliagkas, Ioannis, Monga, Rajat, Murray, Derek, Olukotun, Kunle, Papailiopoulos, Dimitris, Pekhimenko, Gennady, Rekatsinas, Theodoros, Rostamizadeh, Afshin, Ré, Christopher, De Sa, Christopher, Sedghi, Hanie, Sen, Siddhartha, Smith, Virginia, Smola, Alex, Song, Dawn, Sparks, Evan, Stoica, Ion, Sze, Vivienne, Udell, Madeleine, Vanschoren, Joaquin, Venkataraman, Shivaram, Vinayak, Rashmi, Weimer, Markus, Wilson, Andrew Gordon, Xing, Eric, Zaharia, Matei, Zhang, Ce, Talwalkar, Ameet
Machine learning (ML) techniques are enjoying rapidly increasing adoption. However, designing and implementing the systems that support ML models in real-world deployments remains a significant obstacle, in large part due to the radically different d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77aed255db356a93a9f27675fdb3831c
Novel user interfaces based on artificial intelligence, such as natural-language agents, present new categories of engineering challenges. These systems need to cope with uncertainty and ambiguity, interface with machine learning algorithms, and comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3359ae4b3541a3a84e9529fd947d0b0b
Autor:
Agarwal, Alekh, Bird, Sarah, Cozowicz, Markus, Hoang, Luong, Langford, John, Lee, Stephen, Li, Jiaji, Melamed, Dan, Oshri, Gal, Ribas, Oswaldo, Sen, Siddhartha, Slivkins, Alex
Applications and systems are constantly faced with decisions that require picking from a set of actions based on contextual information. Reinforcement-based learning algorithms such as contextual bandits can be very effective in these settings, but a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153f972a5877de4aa5bc4e6749a734d9
http://arxiv.org/abs/1606.03966
http://arxiv.org/abs/1606.03966