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Adversarial Learning

2063 directly classified papers

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Papers

Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
LAFEAT: Piercing Through Adversarial Defenses With Latent Features CVPR 2021
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems CVPR 2021
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021
The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021
StyleMix: Separating Content and Style for Enhanced Data Augmentation CVPR 2021
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 2021
Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features CVPR 2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation CVPR 2021
Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021
Certified Robustness to Programmable Transformations in LSTMs EMNLP 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training EMNLP 2021
Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021
Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization EMNLP 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer EMNLP 2021
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction EMNLP 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021
SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021
Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021