conftrace_

adversarial attack

1621 papers

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Also known as

AA

Co-occurring keywords

adversarial robustness (1341) adversarial example (564) black-box attack (237) large language model (13587) neural network (6616) adversarial learning (1595) adversarial defense (325) model robustness (480) adversarial training (1262) adversarial perturbation (384)

Papers

A PAC-Bayes Analysis of Adversarial Robustness NIPS 2021
Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty WACV 2021
Approximating Lipschitz continuous functions with GroupSort neural networks AISTATS 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021
Detection and Defense of Topological Adversarial Attacks on Graphs AISTATS 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns IJCNLP 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NIPS 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter IJCNLP 2021
SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models IJCNLP 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution IJCNLP 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks NIPS 2021
Generating adversarial examples with graph neural networks UAI 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints NIPS 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021
Adversarial Attack Generation Empowered by Min-Max Optimization NIPS 2021
Neural Tangent Generalization Attacks ICML 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021
Weight-covariance alignment for adversarially robust neural networks ICML 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021
Observation-Free Attacks on Stochastic Bandits NIPS 2021
Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems INTERSPEECH 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021