分享一下收集自己看过的关于Adversarial Training 、Knowledge Distillation、Meta-Learning方向的一些paper. 持续更新~ 欢迎Star https://github.com/xuanzebi/Paper-Knowledge_Distillation-Adversarial_Trainin…
adversarial training (MAT), a novel combination of adversarial training with meta-learning, which overcomes this challenge by meta-learning universal perturbations along with model training. MAT requires little extra computation while continuously adapting a large set of perturbations to the current model...
Adversarial Attacks on Graph Neural Networks via Meta Learning, 📝ICLR, Code Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective, 📝IJCAI, Code Adversarial Examples on Graph Data: Deep Insights into Attack and Defense, 📝IJCAI, Code A Unified Framework for Data ...
python main.py --config config/meta_example.yaml \ --MAMLSumTaskTrainer --SampleAttenController To adapt the pre-trained model to target language, run this command:python main.py --config config/common_voice_target_kyrgyz.yaml \ --load 0 --ckpt asr_ckpt_to_adapt ...
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning". - GitHub - danielzuegner/gnn-meta-attack: Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
7th Annual Conference on Robot Learning (CoRL 2023) Webpage|Code|Paper Set Up Clone the official implementation of CAT to local. git clone https://github.com/metadriverse/cat.gitcdcat Download (i) the modified version of MetaDrive to maneuver and display adversarial traffic in simulations and...
python main.py --task remove --meta_data /path/to/metabolomics_data --sample_data /path/to/batch_information --save /path/to/save_dir --load path/to/saved_model.pth There are some new files that will be added in/path/to/saved_dir: ...
Moreover, to fast update the generator with a few observations, the entire adversarial framework is learned in the gradient-based meta-learning manner. The experimental results on AI2THOR and RoboTHOR simulators demonstrate the effectiveness of the proposed method in navigating to unseen object ...
[2019][ICML][134:fire:] Adversarial camera stickers: A physical camera-based attack on deep learning systems [Code] [2019][ICML][397:fire:] Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition [Code] [2019][arXiv] Perceptual Based Adversarial Audio Attacks [...
@@ -808,6 +808,7 @@ Do Machine Learning Models Memorize or Generalize?](https://pair.withgoogle.com/ - METAAGENTS: SIMULATING INTERACTIONS OF HUMAN BEHAVIORS FOR LLM-BASED TASK-ORIENTED COORDINATION VIA COLLABORATIVE GENERATIVE AGENTS - LET MODELS SPEAK CIPHERS: MULTIAGENT DEBATE THROUGH EMBEDDIN...