Chun-Min Jimmy ChangFBNet, Gradient-based NASFBNet proposes a differentiable neural architecture search method aiming to search architectures that optimize both accuracy and hardware…2 min read·May 15, 2020----
Chun-Min Jimmy ChangThrowback: Defensive QuantizationDefensive Quantization: When Efficiency Meets Robustness, https://arxiv.org/abs/1904.084443 min read·Jul 31, 2019----
Chun-Min Jimmy ChangThrowback: Is Robustness the Cost of Accuracy?Is Robustness the Cost of Accuracy? — A Comprehensive study on the robustness of 18 Deep Image Classification Models4 min read·Jul 30, 2019----
Chun-Min Jimmy ChangThrowback: Defense Against Adversarial Attacks using High-level Representation Guided DenoiserMain ideas:2 min read·Jul 29, 2019----