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2020 – today
- 2024
[j9]Tanveer Khan, Mindaugas Budzys
, Khoa Nguyen, Antonis Michalas:
SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training. Proc. Priv. Enhancing Technol. 2024(3): 144-164 (2024)- [c16]Tanveer Khan, Fahad Sohrab, Antonis Michalas, Moncef Gabbouj:
Trustworthiness of $\mathbb {X}$ Users: A One-Class Classification Approach. AINA (2) 2024: 331-343 - [c15]Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas:
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption. SAC 2024: 953-962 - [c14]Tanveer Khan, Mindaugas Budzys, Antonis Michalas:
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning. SACMAT 2024 - [i14]Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas:
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption. CoRR abs/2401.14840 (2024) - [i13]Tanveer Khan, Fahad Sohrab, Antonis Michalas, Moncef Gabbouj:
Trustworthiness of X Users: A One-Class Classification Approach. CoRR abs/2402.02066 (2024) - [i12]Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas:
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training. CoRR abs/2403.03592 (2024) - [i11]Tanveer Khan, Mindaugas Budzys, Antonis Michalas:
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning. CoRR abs/2404.09265 (2024) - [i10]Khoa Nguyen, Mindaugas Budzys, Eugene Frimpong, Tanveer Khan, Antonis Michalas:
A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption. CoRR abs/2409.06422 (2024) - 2023
- [c13]Tanveer Khan, Khoa Nguyen, Antonis Michalas:
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning. EDBT/ICDT Workshops 2023 - [c12]Tanveer Khan, Khoa Nguyen, Antonis Michalas:
A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning. NordSec 2023: 307-329 - [c11]Tanveer Khan, Khoa Nguyen, Antonis Michalas, Alexandros Bakas:
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption. PST 2023: 1-7 - [c10]Tanveer Khan, Antonis Michalas:
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation. TrustCom 2023: 62-71 - [i9]Tanveer Khan, Khoa Nguyen, Antonis Michalas:
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning. CoRR abs/2301.08778 (2023) - [i8]Khoa Nguyen, Tanveer Khan, Antonis Michalas:
Split Without a Leak: Reducing Privacy Leakage in Split Learning. CoRR abs/2308.15783 (2023) - [i7]Tanveer Khan, Antonis Michalas:
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation. CoRR abs/2309.08190 (2023) - [i6]Tanveer Khan, Khoa Nguyen, Antonis Michalas:
A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning. CoRR abs/2309.08697 (2023) - [i5]Tanveer Khan, Khoa Nguyen, Antonis Michalas, Alexandros Bakas:
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption. CoRR abs/2309.10517 (2023) - 2022
- [i4]Tanveer Khan, Antonis Michalas:
Trust and Believe - Should We? Evaluating the Trustworthiness of Twitter Users. CoRR abs/2210.15214 (2022) - 2021
- [j8]Tanveer Khan, Antonis Michalas:
Seeing and Believing: Evaluating the Trustworthiness of Twitter Users. IEEE Access 9: 110505-110516 (2021) - [j7]Tanveer Khan, Antonis Michalas, Adnan Akhunzada:
Fake news outbreak 2021: Can we stop the viral spread? J. Netw. Comput. Appl. 190: 103112 (2021) - [c9]Tanveer Khan, Alexandros Bakas, Antonis Michalas:
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation. ISCC 2021: 1-7 - [i3]Tanveer Khan, Antonis Michalas, Adnan Akhunzada:
SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread? CoRR abs/2105.10671 (2021) - [i2]Tanveer Khan, Antonis Michalas:
Seeing and Believing: Evaluating the Trustworthiness of Twitter Users. CoRR abs/2107.08027 (2021) - [i1]Tanveer Khan, Alexandros Bakas, Antonis Michalas:
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation. CoRR abs/2107.14338 (2021) - 2020
- [c8]Tanveer Khan, Antonis Michalas:
Trust and Believe - Should We? Evaluating the Trustworthiness of Twitter Users. TrustCom 2020: 1791-1800
2010 – 2019
- 2019
- [j6]Mamdouh Alenezi, Muhammad Usama, Khaled Mohamad Almustafa, Waheed Iqbal, Muhammad Ali Raza, Tanveer Khan:
An Efficient, Secure, and Queryable Encryption for NoSQL-Based Databases Hosted on Untrusted Cloud Environments. Int. J. Inf. Secur. Priv. 13(2): 14-31 (2019) - [j5]Tanveer Khan, Masoom Alam, Adnan Akhunzada, Ali Hur, Muhammad Asif, Muhammad Khurram Khan:
Towards augmented proactive cyberthreat intelligence. J. Parallel Distributed Comput. 124: 47-59 (2019) - [c7]Sapna Ria Chakraborty, Anagha M., Kartikeya Vats, Khyati Baradia, Tanveer Khan, Sandipan Sarkar, Sujoy Roychowdhury:
Recommendence and Fashionsence: Online Fashion Advisor for Offline Experience. COMAD/CODS 2019: 256-259 - 2018
- [j4]Masoom Alam, Naina Emmanuel, Tanveer Khan, Abid Khan, Nadeem Javaid, Kim-Kwang Raymond Choo, Rajkumar Buyya:
Secure policy execution using reusable garbled circuit in the cloud. Future Gener. Comput. Syst. 87: 488-501 (2018) - [j3]Masoom Alam, Naina Emmanuel, Tanveer Khan, Yang Xiang, Houcine Hassan:
Garbled role-based access control in the cloud. J. Ambient Intell. Humaniz. Comput. 9(4): 1153-1166 (2018) - [j2]Naina Emmanuel, Abid Khan, Masoom Alam, Tanveer Khan, Muhammad Khurram Khan:
Structures and data preserving homomorphic signatures. J. Netw. Comput. Appl. 102: 58-70 (2018) - [c6]Mohamed Nassar, Qutaibah M. Malluhi, Tanveer Khan:
A Scheme for Three-way Secure and Verifiable E-Voting. AICCSA 2018: 1-6 - 2017
- [j1]Anam Nazir, Masoom Alam, Saif Ur Rehman Malik, Adnan Akhunzada, Muhammad Nadeem Cheema, Muhammad Khurram Khan, Yang Ziang, Tanveer Khan, Abid Khan:
A high-level domain-specific language for SIEM (design, development and formal verification). Clust. Comput. 20(3): 2423-2437 (2017) - 2016
- [c5]Pir Masoom Shah, Ikram Ullah, Tanveer Khan, Muhammad, Sheraz Hussain, Zahoor Ali Khan, Umar Qasim, Nadeem Javaid:
MobiSink: Cooperative Routing Protocol for Underwater Sensor Networks with Sink Mobility. AINA 2016: 189-197 - [c4]Tanveer Khan, Israr Ahmad, Waqas Aman, Irfan Azam, Zahoor Ali Khan, Umar Qasim, Sanam Avais, Nadeem Javaid:
Clustering Depth Based Routing for Underwater Wireless Sensor Networks. AINA 2016: 506-515 - [c3]Ziaur Rahman, Zaheer Ahmad, Amir Murad, Tanveer Khan, Zahoor Ali Khan, Umar Qasim, Nadeem Javaid:
On Utilizing Static Courier Nodes to Achieve Energy Efficiency with Depth Based Routing for Underwater Wireless Sensor Networks. AINA 2016: 1184-1191 - [c2]Abdul Majid, Irfan Azam, Tanveer Khan, Sangeen, Zahoor Ali Khan, Umar Qasim, Nadeem Javaid:
A Reliable and Interference-Aware Routing Protocol for Underwater Wireless Sensor Networks. CISIS 2016: 246-255 - [c1]Irfan Azam, Abdul Majid, Tanveer Khan, Sajjad, Zahoor Ali Khan, Umar Qasim, Nadeem Javaid:
Avoiding Energy Holes in Underwater Wireless Sensor Networks with Balanced Load Distribution. CISIS 2016: 341-350
Coauthor Index
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last updated on 2024-10-15 00:21 CEST by the dblp team
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