Adversarial Learning
5,204 papers
Papers per year
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Papers
Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser
Interspeech 2022
DeformRS: Certifying Input Deformations with Randomized Smoothing
AAAI 2022
DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders
Interspeech 2022
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts
CVPR 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses
ICML 2022
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
CVPR 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
ICML 2022
Detecting Incongruent News Articles Using Multi-head Attention Dual Summarization
AACL 2022
Detecting textual adversarial examples through randomized substitution and vote
UAI 2022
Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations
ACL 2022
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
ACL 2022
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors
CVPR 2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
NAACL 2022
Diffusion Models for Adversarial Purification
ICML 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
NeurIPS 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis
CVPR 2022
DISCO: Adversarial Defense with Local Implicit Functions
NeurIPS 2022
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition
Interspeech 2022
Discriminative Feature Representation Based on Cascaded Attention Network with Adversarial Joint Loss for Speech Emotion Recognition
Interspeech 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
ACL 2022
Distributed adversarial training to robustify deep neural networks at scale
UAI 2022
Distributionally Robust Q-Learning
ICML 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
ICML 2022
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
CVPR 2022
Domain Adversarial Learning for Color Constancy
IJCAI 2022