Publications associées à Microsoft Bing

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Shaokai Ye, Yuan He, Hang Su, Jinfeng Li

We study the query-based attack against image retrieval to evaluate its robustness against adversarial examples under the black-box setting, where the adversary only has query access to the top-1 ranked unlabeled images from the database. Compared with que ...

IEEE COMPUTER SOC2021

Citizen Visual Search Engine: Detection and Curation of Urban Objects

Jeffrey Huang, Immanuel Chee Beng Koh

Increasingly, the ubiquity of satellite imagery has made the data analysis and machine learning of large geographical datasets one of the building blocks of visuospatial intelligence. It is the key to discover current (and predict future) cultural, social, ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

PerfIso: Performance Isolation for Commercial Latency-Sensitive Services

Sameh Mohamed Elnikety, Calin Iorgulescu

Large commercial latency-sensitive services, such as web search, run on dedicated clusters provisioned for peak load to ensure responsiveness and tolerate data center outages. As a result, the average load is far lower than the peak load used for provision ...

The USENIX Association2018

PerfIso: Performance Isolation for Commercial Latency-Sensitive Services

Sameh Mohamed Elnikety, Calin Iorgulescu

Large commercial latency-sensitive services, such as web search, run on dedicated clusters provisioned for peak load to ensure responsiveness and tolerate data center outages. As a result, the average load is far lower than the peak load used for provision ...

USENIX ASSOC2018

Making large art historical photo archives searchable

Benoît Laurent Auguste Seguin

In recent years, museums, archives and other cultural institutions have initiated important programs to digitize their collections. Millions of artefacts (paintings, engravings, drawings, ancient photographs) are now represented in digital photographic for ...

EPFL2018

PriBots: Conversational Privacy with Chatbots

Karl Aberer, Hamza Harkous, Kassem Fawaz

Traditional mechanisms for delivering notice and enabling choice have so far failed to protect users’ privacy. Users are continuously frustrated by complex privacy policies, unreachable privacy settings, and a multitude of emerging standards. The miniaturi ...

2016

A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services

James Richard Larus

To advance datacenter capabilities beyond what commodity server designs can provide, the authors designed and built a composable, reconfigurable fabric to accelerate large-scale software services. They deployed the reconfigurable fabric in a bed of 1,632 s ...

Ieee Computer Soc2015