All Stories

  1. AutoMarks: A GNN-based Automated Physical Design Watermarking Framework
  2. AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge
  3. Automated Physical Design Watermarking Leveraging Graph Neural Networks
  4. EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
  5. HELiKs: HE Linear Algebra Kernels for Secure Inference
  6. Tailor : Altering Skip Connections for Resource-Efficient Inference
  7. Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings
  8. VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality
  9. AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs
  10. Scalable Binary Neural Network applications in Oblivious Inference
  11. Adapting Skip Connections for Resource-Efficient FPGA Inference
  12. AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection
  13. AccHashtag : Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks
  14. Tutorial: Towards Robust Deep Learning against Poisoning Attacks
  15. Intellectual Property (IP) Protection for Deep Learning and Federated Learning Models
  16. GALU: A Genetic Algorithm Framework for Logic Unlocking
  17. COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks
  18. EncoDeep
  19. CleaNN
  20. GeneCAI
  21. Security of Microfluidic Biochip
  22. DeepAttest
  23. DeepMarks
  24. ARM2GC
  25. DeepSigns
  26. ReDCrypt
  27. SHAIP
  28. P3
  29. Assured deep learning
  30. DeepFense
  31. Privacy-preserving deep learning and inference
  32. ASHES 2017
  33. RISE
  34. Toward Practical Secure Stable Matching
  35. Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms
  36. DeLight
  37. GarbledCPU
  38. Perform-ML