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Nikhil Chawla
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Books and Theses
- 2022
- [b1]Nikhil Chawla:
Machine Learning Methodologies For Low-Level Hardware-Based Malware Detection. Georgia Institute of Technology, Atlanta, GA, USA, 2022
Journal Articles
- 2021
- [j3]Nikhil Chawla
, Arvind Singh
, Harshit Kumar
, Monodeep Kar
, Saibal Mukhopadhyay
:
Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. IEEE Internet Things J. 8(22): 16379-16394 (2021) - [j2]Nikhil Chawla
, Harshit Kumar
, Saibal Mukhopadhyay
:
Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. IEEE Trans. Inf. Forensics Secur. 16: 3426-3441 (2021) - 2019
- [j1]Arvind Singh
, Nikhil Chawla
, Jong Hwan Ko
, Monodeep Kar
, Saibal Mukhopadhyay:
Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes. IEEE Internet Things J. 6(1): 421-434 (2019)
Conference and Workshop Papers
- 2022
- [c8]Chen Liu, Abhishek Chakraborty, Nikhil Chawla
, Neer Roggel:
Frequency Throttling Side-Channel Attack. CCS 2022: 1977-1991 - 2021
- [c7]Harshit Kumar, Nikhil Chawla
, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. DAC 2021: 961-966 - [c6]Chen Liu, Monodeep Kar, Xueyang Wang, Nikhil Chawla
, Neer Roggel
, Bilgiday Yuce, Jason M. Fung:
Methodology of Assessing Information Leakage through Software-Accessible Telemetries. HOST 2021: 259-269 - 2020
- [c5]Harshit Kumar, Nikhil Chawla
, Saibal Mukhopadhyay:
BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. ISLPED 2020: 223-228 - 2019
- [c4]Arvind Singh, Monodeep Kar, Nikhil Chawla
, Saibal Mukhopadhyay:
Mitigating Power Supply Glitch based Fault Attacks with Fast All-Digital Clock Modulation Circuit. DATE 2019: 19-24 - [c3]Nikhil Chawla
, Arvind Singh, Nael Mizanur Rahman
, Monodeep Kar, Saibal Mukhopadhyay:
Extracting Side-Channel Leakage from Round Unrolled Implementations of Lightweight Ciphers. HOST 2019: 31-40 - [c2]Nikhil Chawla
, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay:
Application Inference using Machine Learning based Side Channel Analysis. IJCNN 2019: 1-8 - 2018
- [c1]Arvind Singh, Nikhil Chawla
, Monodeep Kar, Saibal Mukhopadhyay:
Energy efficient and side-channel secure hardware architecture for lightweight cipher SIMON. HOST 2018: 159-162
Informal and Other Publications
- 2023
- [i5]Nikhil Chawla, Chen Liu, Abhishek Chakraborty, Igor Chervatyuk, Ke Sun, Thais Moreira Hamasaki, Henrique Kawakami:
The Power of Telemetry: Uncovering Software-Based Side-Channel Attacks on Apple M1/M2 Systems. CoRR abs/2306.16391 (2023) - 2022
- [i4]Chen Liu, Abhishek Chakraborty, Nikhil Chawla, Neer Roggel:
Frequency Throttling Side-Channel Attack. CoRR abs/2206.07012 (2022) - [i3]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. CoRR abs/2206.12447 (2022) - 2021
- [i2]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. CoRR abs/2103.11519 (2021) - 2019
- [i1]Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay:
Application Inference using Machine Learning based Side Channel Analysis. CoRR abs/1907.04428 (2019)
Coauthor Index
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