Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Sameer Wagh"'
Autor:
Sameer Wagh
Publikováno v:
Proceedings on Privacy Enhancing Technologies. 2022:351-377
Machine learning algorithms crucially depend on non-linear mathematical functions such as division (for normalization), exponentiation (for softmax and sigmoid), tanh (as an activation function), logarithm (for crossentropy loss), and square root (fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9e6320094729714f6b1b6a482115e24
https://doi.org/10.56553/popets-2022-0113
https://doi.org/10.56553/popets-2022-0113
Autor:
Sameer Wagh, Prashant Dhanke
Publikováno v:
Emerging Contaminants, Vol 6, Iss, Pp 20-32 (2020)
In this work degradation of Acid Red-18 (AR-18) was examined in the hydrodynamic cavitation reactor. Orifice plates with different holes geometry are used to determine the optimum plate to carry out the degradation based on cavitation number. The obt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404b7f64dccbfd8649c940199802ffcd
http://www.sciencedirect.com/science/article/pii/S2405665019300289
http://www.sciencedirect.com/science/article/pii/S2405665019300289
Autor:
Sameer Wagh, Prashant Dhanke
Publikováno v:
Materials Today: Proceedings. 27:181-187
The vegetable oil refinery wastewater (VORWW) creates an environmental problem in terms of threat to aquatic life due to high organic and inorganic content. These refinery plants produce a large quantity of wastewater with high chemical oxygen demand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e86336fc90e4d374daae55316cc30a2a
https://doi.org/10.1016/j.matpr.2019.10.004
https://doi.org/10.1016/j.matpr.2019.10.004
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2019, Iss 4, Pp 272-291 (2019)
The popularity of Tor has made it an attractive target for a variety of deanonymization and fingerprinting attacks. Location-based path selection algorithms have been proposed as a countermeasure to defend against such attacks. However, adversaries c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5af3ad132339c80d742a1e3ba9ec95d4
https://doi.org/10.2478/popets-2019-0069
https://doi.org/10.2478/popets-2019-0069
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2019, Iss 3, Pp 26-49 (2019)
Neural Networks (NN) provide a powerful method for machine learning training and inference. To effectively train, it is desirable for multiple parties to combine their data – however, doing so conflicts with data privacy. In this work, we provide n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b646ae9bb38343b55ff98b93350089f
https://doaj.org/article/7798e6a226aa4eb2bb873da1be0d349e
https://doaj.org/article/7798e6a226aa4eb2bb873da1be0d349e
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2019, Iss 2, Pp 166-186 (2019)
Recent work has shown that Tor is vulnerable to attacks that manipulate inter-domain routing to compromise user privacy. Proposed solutions such as Counter-RAPTOR [29] attempt to ameliorate this issue by favoring Tor entry relays that have high resil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e58a7c456f89d40e8f80435be55517c5
https://doi.org/10.2478/popets-2019-0025
https://doi.org/10.2478/popets-2019-0025
Publikováno v:
Protecting Privacy through Homomorphic Encryption ISBN: 9783030772864
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4d1c7c53bf19aae70d15bdb7a58dd80
https://doi.org/10.1007/978-3-030-77287-1_13
https://doi.org/10.1007/978-3-030-77287-1_13
Publikováno v:
Financial Cryptography and Data Security-FC 2021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::443c94837a5380d1ff15a7fc10e7558e
Differential privacy (DP) has arisen as the state-of-the-art metric for quantifying individual privacy when sensitive data are analyzed, and it is starting to see practical deployment in organizations such as the US Census Bureau, Apple, Google, etc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7e2cdc75634d923e9da403684076afd
http://arxiv.org/abs/2004.08887
http://arxiv.org/abs/2004.08887
Publikováno v:
Water science and technology : a journal of the International Association on Water Pollution Research. 80(12)
Water generated from the fish processing industry is contaminated with organic matter. This organic matter present in wastewater increases the biochemical oxygen demand (BOD) and chemical oxygen demand (COD). A new technology, hydrodynamic cavitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94df6f7aa02464b2311e969ad7e19a3f
https://pubmed.ncbi.nlm.nih.gov/32245922
https://pubmed.ncbi.nlm.nih.gov/32245922