Abraham Chan, Niranjhana Narayananan, Arpan Gujarati, Karthik Pattabiraman, and Sathish Gopalakrishnan, IEEE International Symposium on Quality, Reliability and Security (QRS), 2021. Full paper (Acceptance Rate: 25.1%) [ PDF | Talk | Video ] Best Paper Award (1 of 3)
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Recent Papers
- DLAFI: Software-Based Fault Injection for Permanent Faults in Deep Learning Accelerators
- Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models
- OneOS: Distributed Operating System for the Edge-to-Cloud Continuum
- RAVAGE: Robotic Autonomous Vehicles’ Attack Generation Engine
- Reentrancy Redux: The Evolution of Real-World Reentrancy Attacks on Blockchains
- ReMlX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data
- D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles
- A Method to Facilitate Membership Inference Attacks in Deep Learning Models
- SAM: Foreseeing Inference-Time False Data Injection Attacks on ML-enabled Medical Devices
- AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices
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