Highlights
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- IBM/composite-adv
IBM/composite-adv Public[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.
- IBM/AutoVP
IBM/AutoVP Public[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
- IBM/NeuralFuse
IBM/NeuralFuse Public[NeurIPS'24] "NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes"
Python 10
- Trusted-AI/adversarial-robustness-toolbox
Trusted-AI/adversarial-robustness-toolbox PublicAdversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
- yungchentang/NCToolkit
yungchentang/NCToolkit Public[TMLR] Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Python 2
- VLSI-Physical-Design-Automation
VLSI-Physical-Design-Automation PublicCourseworks of CS6165 VLSI Physical Design Automation, NTHU.
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