All Stories

  1. Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks
  2. Special Session: Mitigating Side-channel Attacks through Circuit to Application Layer Approaches
  3. FlutPIM:
  4. Hardware Trojan Detection Using Machine Learning: A Tutorial
  5. Breaking the Design and Security Trade-off of Look-up-table–based Obfuscation
  6. Silicon validation of LUT-based logic-locked IP cores
  7. LOCK&ROLL
  8. RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis
  9. Survey of Machine Learning for Electronic Design Automation
  10. RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks
  11. CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection
  12. Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering
  13. Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures
  14. A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop
  15. Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment
  16. Evolution of Defenses against Transient-Execution Attacks
  17. A Review of In-Memory Computing Architectures for Machine Learning Applications
  18. Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips
  19. Application and Thermal-reliability-aware Reinforcement Learning Based Multi-core Power Management
  20. Adversarial Attack on Microarchitectural Events based Malware Detectors
  21. Computer-aided Arrhythmia Diagnosis with Bio-signal Processing