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

x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification INTERSPEECH 2020
On the Robustness of Language Encoders against Grammatical Errors ACL 2020
Word-level Textual Adversarial Attacking as Combinatorial Optimization ACL 2020
The Attacker’s Perspective on Automatic Speaker Verification: An Overview INTERSPEECH 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack NIPS 2020
The Autoencoding Variational Autoencoder NIPS 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty INTERSPEECH 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification INTERSPEECH 2020
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020
Adversarially Robust Distillation AAAI 2020
Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020
Weighted-Sampling Audio Adversarial Example Attack AAAI 2020
Heuristic Black-Box Adversarial Attacks on Video Recognition Models AAAI 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates AAAI 2020
Universal Adversarial Attacks on Spoken Language Assessment Systems INTERSPEECH 2020
Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning INTERSPEECH 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
Adversarial Robustness via Runtime Masking and Cleansing ICML 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks AISTATS 2020
A Topology Layer for Machine Learning AISTATS 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training MIDL 2020
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance CVPR 2020
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020