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ORCIDShamik Kundu
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2020 – today
- 2024
[j10]Shamik Kundu
, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu:
DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 217-229 (2024)- [j9]Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu:
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. 2024 (2024) - [c27]Sanjay Das, Shamik Kundu, Pooja Madhusoodhanan, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriya Natarajan, Kanad Basu:
Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems. DAC 2024: 206:1-206:6 - [c26]Shamik Kundu, Mirazul Haque, Sanjay Das, Wei Yang, Kanad Basu:
MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks. DAC 2024: 247:1-247:6 - [c25]Shamik Kundu, Navnil Choudhury, Sanjay Das, Arnab Raha, Kanad Basu:
QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks. HOST 2024: 1-11 - [c24]Sanjay Das, Shamik Kundu, Kanad Basu:
Explainability to the Rescue: A Pattern-Based Approach for Detecting Adversarial Attacks. HOST 2024: 160-170 - [c23]Samit Shahnawaz Miftah, Shamik Kundu, Austin Mordahl, Shiyi Wei, Kanad Basu:
RTL-Spec: RTL Spectrum Analysis for Security Bug Localization. HOST 2024: 171-181 - [c22]Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty:
SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. ISLPED 2024: 1-6 - [c21]Shamik Kundu, Navnil Choudhury, Kanad Basu:
QuEST: Quantum Circuit Output Estimation using Gaussian Distribution Analysis. ISQED 2024: 1-8 - [c20]Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Kanad Basu:
RASH: Reliable Deep Learning Acceleration using Sparsity-based Hardware. ISQED 2024: 1 - [c19]Sakib Reza, Sanjay Das, Shamik Kundu, Kanad Basu, Ifana Mahbub:
Machine Learning Intervened RIS-Based RF Interference Management for IoT. ISVLSI 2024: 457-462 - [c18]Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan:
HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. VLSID 2024: 228-234 - [c17]Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha R. Kharel, Kanad Basu:
Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators. VTS 2024: 1-7 - [i5]Arnab Raha, Deepak A. Mathaikutty, Soumendu Kumar Ghosh, Shamik Kundu:
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices. CoRR abs/2403.09026 (2024) - 2023
- [j8]Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu:
Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators. IEEE Des. Test 40(2): 90-99 (2023) - [j7]Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Fei Su, Suriyaprakash Natarajan, Kanad Basu:
Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators. IEEE Trans. Computers 72(8): 2194-2208 (2023) - [j6]Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu:
A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1085-1098 (2023) - [j5]Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu:
SeqL+: Secure Scan-Obfuscation With Theoretical and Empirical Validation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1406-1410 (2023) - [c16]Anand Menon, Amisha Srivastava, Shamik Kundu, Kanad Basu:
Application Profiling Using Register-Instruction Hardware Performance Counters. ISVLSI 2023: 1-6 - [c15]Sanjay Das, Shamik Kundu, Kanad Basu:
Bottlenecks in Secure Adoption of Deep Neural Networks in Safety-Critical Applications. MWSCAS 2023: 801-805 - 2022
- [j4]Xingyu Meng, Shamik Kundu, Arun K. Kanuparthi, Kanad Basu:
RTL-ConTest: Concolic Testing on RTL for Detecting Security Vulnerabilities. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 466-477 (2022) - [j3]Abraham Peedikayil Kuruvila, Xingyu Meng, Shamik Kundu, Gaurav Pandey, Kanad Basu:
Explainable Machine Learning for Intrusion Detection via Hardware Performance Counters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4952-4964 (2022) - [c14]Shamik Kundu, Kanad Basu:
Detecting Functional Safety Violations in Online AI Accelerators. IOLTS 2022: 1-4 - [c13]Chao Lu, Shamik Kundu, Abraham Peedikayil Kuruvila, Supriya Margabandhu Ravichandran, Kanad Basu:
Design and Logic Synthesis of a Scalable, Efficient Quantum Number Theoretic Transform. ISLPED 2022: 5:1-5:6 - [c12]Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu:
Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. ISVLSI 2022: 329-332 - [c11]Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu:
Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. ITC 2022: 229-238 - [c10]Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu:
RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. ITC 2022: 504-508 - [c9]Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu:
Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. VTS 2022: 1-4 - 2021
- [j2]Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu:
Defending Hardware-Based Malware Detectors Against Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1727-1739 (2021) - [j1]Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu:
Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(3): 485-498 (2021) - [c8]Naimul Hassan, Alexander J. Edwards, Dhritiman Bhattacharya, Mustafa M. Shihab, Varun Venkat, Peng Zhou, Xuan Hu, Shamik Kundu, Abraham Peedikayil Kuruvila, Kanad Basu, Jayasimha Atulasimha, Yiorgos Makris, Joseph S. Friedman:
Secure Logic Locking with Strain-Protected Nanomagnet Logic. DAC 2021: 127-132 - [c7]Shamik Kundu, Xingyu Meng, Kanad Basu:
Application of Machine Learning in Hardware Trojan Detection. ISQED 2021: 414-419 - [c6]Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu:
HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. ISQED 2021: 457-462 - [c5]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for AI/ML Hardware. VTS 2021: 1-10 - [i4]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for ML/AI Hardware. CoRR abs/2103.12166 (2021) - [i3]Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu:
SeqL+: Secure Scan-Obfuscation with Theoretical and Empirical Validation. IACR Cryptol. ePrint Arch. 2021: 1245 (2021) - 2020
- [c4]Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu:
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. IOLTS 2020: 1-4 - [c3]Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu:
Analyzing the Efficiency of Machine Learning Classifiers in Hardware-Based Malware Detectors. ISVLSI 2020: 452-457 - [i2]Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu:
Defending Hardware-based Malware Detectors against Adversarial Attacks. CoRR abs/2005.03644 (2020) - [i1]Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu:
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. CoRR abs/2006.03616 (2020)
2010 – 2019
- 2018
- [c2]Kaushik Dutta, Rishav Mukherjee, Anindita Kundu, Shamik Kundu:
Dynamic Queuing Model for the Secondary Users in a Cognitive Radio Network for Improvement of QoS. ANTS 2018: 1-6 - [c1]Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar:
Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. ASONAM 2018: 790-793
Coauthor Index
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last updated on 2024-11-13 23:43 CET by the dblp team
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