Results 1 to 10 of about 1,118 (118)

First Steps towards Data-Driven Adversarial Deduplication [PDF]

Information, 2018
In traditional databases, the entity resolution problem (which is also known as deduplication) refers to the task of mapping multiple manifestations of virtual objects to their corresponding real-world entities.
Jose N. Paredes, Gerardo I. Simari, Maria Vanina Martinez, Marcelo A. Falappa   +3 more
doaj   +9 more sources

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models. [PDF]

Bioengineering (Basel)
Foundation Models (FMs) are gaining increasing attention in the biomedical artificial intelligence (AI) ecosystem due to their ability to represent and contextualize multimodal biomedical data. These capabilities make FMs a valuable tool for a variety of
Sankar BS, Gilliland D, Rincon J, Hermjakob H, Yan Y, Adam I, Lemaster G, Wang D, Watson K, Bui A, Wang W, Ping P.   +11 more
europepmc   +3 more sources

MRm-DLDet: a memory-resident malware detection framework based on memory forensics and deep neural network

Cybersecurity, 2023
Cyber attackers have constantly updated their attack techniques to evade antivirus software detection in recent years. One popular evasion method is to execute malicious code and perform malicious actions only in memory.
Jiaxi Liu, Yun Feng, Xinyu Liu, Jianjun Zhao, Qixu Liu   +4 more
doaj   +1 more source

Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks [PDF]

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
Adversarial domain adaptation has been recently proposed as an effective technique for textual matching tasks, such as question deduplication. Here we investigate the use of gradient reversal on adversarial domain adaptation to explicitly learn both shared and unshared (domain specific) representations between two textual domains. In doing so, gradient
Anush Kamath, Sparsh Gupta, Vitor Carvalho   +2 more
openaire   +1 more source

Efficiently Decodable Codes for the Binary Deletion Channel [PDF]

, 2017
In the random deletion channel, each bit is deleted independently with probability p. For the random deletion channel, the existence of codes of rate (1-p)/9, and thus bounded away from 0 for any p ...
Guruswami, Venkatesan, Li, Ray
core   +1 more source

CacheZoom: How SGX Amplifies The Power of Cache Attacks [PDF]

, 2017
In modern computing environments, hardware resources are commonly shared, and parallel computation is widely used. Parallel tasks can cause privacy and security problems if proper isolation is not enforced.
D Brumley, D Gruss, DA Osvik, DJ Bernstein, G Irazoqui, J Bonneau, M Hamburg, M Matsui, MS İnci, N Benger, N Weichbrodt, O Acıiçmez, PC Kocher, R Langner, S Bhattacharya, T Morris, Y Tsunoo   +16 more
core   +2 more sources

A comprehensive meta-analysis of cryptographic security mechanisms for cloud computing [PDF]

, 2016
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The concept of cloud computing offers measurable computational or information resources as a service over ...
Kiraz, Mehmet Sabir
core   +1 more source

Security challenges of small cell as a service in virtualized mobile edge computing environments [PDF]

, 2016
Research on next-generation 5G wireless networks is currently attracting a lot of attention in both academia and industry. While 5G development and standardization activities are still at their early stage, it is widely acknowledged that 5G systems are ...
A Fragkiadakis, A Merlo, A Osseiran, B Han, D Dolev, D Soldani, D Zissis, E Kotsovinos, F Boccardi, F Giust, H Mouratidis, H Wang, JG Andrews, K Pentikousis, LM Vaquero, MD Ryan, MJ Mihaljevic, MT Hoesing, N Gobbo, N Yang, P Ameigeiras, PY Chen, Q Han, R Yu, S Andreev, S Patel, S Subashini, S Sun, Sergei Skorobogatov, Sukirna Roy, WH Chin, X Duan   +31 more
core   +5 more sources

Secure and scalable deduplication of horizontally partitioned health data for privacy-preserving distributed statistical computation [PDF]

, 2017
Background Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results.
A Beimel, A Geissbuhler, AF Karr, AF Karr, AL Potosky, Antonis Michalas, AS Lunde, B Pinkas, BA Malin, BA Stewart, BH Bloom, C Clifton, C Friedman, C Quantin, D Vatsalan, EA Durham, G Cormode, G Hripcsak, GM Weber, GM Weber, GM Weber, IS Kohane, J Gichoya, J Vaidya, JF Ludvigsson, JH Holmes, JL Warren, Johan Gustav Bellika, JT Finnell, K Emam El, K Emam El, K Emam El, K Emam El, Kassaye Yitbarek Yigzaw, L Fan, L Lenert, LH Curtis, M Kantarcioglu, MA Hailemichael, MA Hernández, MK Ross, O Goldreich, P Christen, P Paillier, P Saint-Andre, R Cramer, R Lazarus, R Lazarus, R Schnell, RL Richesson, S Tarkoma, SC Pohlig, SM Randall, T Dimitriou, W Du, W Du, WB Lober, Y Lindell   +57 more
core   +2 more sources

Cloud Storage File Recoverability [PDF]

, 2017
Data loss is perceived as one of the major threats for cloud storage. Consequently, the security community developed several challenge-response protocols that allow a user to remotely verify whether an outsourced file is still intact.
Armknecht, Frederik, Cid, Carlos, Gorke, Christian, Janson, Christian   +3 more
core   +2 more sources