All Stories

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