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1. 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.

   Python 23 3

2. IBM/AutoVP IBM/AutoVP Public

   [ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark

   Python 19 2

3. 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

4. Trusted-AI/adversarial-robustness-toolbox Trusted-AI/adversarial-robustness-toolbox Public

   Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

   Python 5.3k 1.2k

5. yungchentang/NCToolkit yungchentang/NCToolkit Public

   [TMLR] Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration

   Python 2

6. VLSI-Physical-Design-Automation VLSI-Physical-Design-Automation Public

   Courseworks of CS6165 VLSI Physical Design Automation, NTHU.

   C++ 45 8