| 2026 | VLSID | Hardware Trojan Detection and Interpretation Using Graph Neural Networks. | Jayanth Thangellamudi, Negar Etemadyrad, Liang Zhao, Sai Manoj P. D. |
| 2025 | ICCAD | PROFUZZ: Directed Graybox Fuzzing via Module Selection and ATPG-Guided Seed Generation. | Raghul Saravanan, Sudipta Paria, Aritra Dasgupta, Swarup Bhunia, Sai Manoj P. D. |
| 2023 | CISS | Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. | Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D. |
| 2023 | DAC | Don't Cross Me! Cross-layer System Security. | Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun |
| 2022 | DAC | Silicon validation of LUT-based logic-locked IP cores. | Gaurav Kolhe, Tyler Sheaves, Kevin Immanuel Gubbi, Tejas Kadale, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Hamid Mahmoodi, Houman Homayoun |
| 2022 | DAC | LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. | Gaurav Kolhe, Tyler David Sheaves, Kevin Immanuel Gubbi, Soheil Salehi, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Houman Homayoun |
| 2022 | ICCD | Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. | Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad |
| 2022 | WCNC | Characterization of AES Implementations on Microprocessor-based IoT Devices. | Sunanda Roy, Angelos Stavrou, Brian L. Mark, Kai Zeng, Sai Manoj P. D., Khaled N. Khasawneh |
| 2021 | DAC | Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. | Gaurav Kolhe, Soheil Salehi, Tyler David Sheaves, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan |
| 2021 | DAC | On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. | Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad |
| 2020 | DATE | Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. | Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao |
| 2019 | CASES | Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. | Abhijitt Dhavlle, Sahil Bhat, Setareh Rafatirad, Houman Homayoun, Sai Manoj P. D. |
| 2019 | CASES | MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. | Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad |
| 2019 | ICCAD | Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. | Gaurav Kolhe, Hadi Mardani Kamali, Miklesh Naicker, Tyler David Sheaves, Hamid Mahmoodi, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad, Avesta Sasan |
| 2019 | ICMLA | RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. | Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad |
| 2018 | DAC | Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. | Hossein Sayadi, Nisarg Patel, Sai Manoj P. D., Avesta Sasan, Setareh Rafatirad, Houman Homayoun |
| 2018 | ICCAD | Efficient utilization of adversarial training towards robust machine learners and its analysis. | Sai Manoj P. D., Sairaj Amberkar, Setareh Rafatirad, Houman Homayoun |
| 2017 | ISCAS | Neural network based ECG anomaly detection on FPGA and trade-off analysis. | Matthias Wess, Sai Manoj P. D., Axel Jantsch |