A Review of Adversarial Attack and Defense for Classification Methods

Article

CAT: Customized Adversarial Training for Improved Robustness

Conference paper

Concurrent Adversarial Learning for Large-Batch Training

Conference paper

DrNAS: Dirichlet Neural Architecture Search

Conference paper

RANK-NOSH: Efficient Predictor-Based NAS via Non-Uniform Successive Halving

Conference paper

Rethinking Architecture Selection in Differentiable NAS

Conference paper

Self-Progressing Robust Training

Conference paper

Evaluating and enhancing the robustness of neural network-based dependency parsing models with adversarial examples

Conference paper

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

Conference paper

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack

Conference paper

Evaluating and enhancing the robustness of dialogue systems: A case study on a negotiation agent

Conference paper

Fast training for Large-Scale One-versus-All linear classifiers using Tree-Structured initialization

Conference paper

On the robustness of self-attentive models

Conference paper

Query-efficient hard-label black-box attack: An optimization-based approach

Conference paper

Distributed primal-dual optimization for non-uniformly distributed data

Conference paper

Extreme learning to rank via low rank assumption

Conference paper

Learning from group comparisons: Exploiting higher order interactions

Conference paper

Towards robust neural networks via random self-ensemble

Conference paper

A hyperplane-based algorithm for semi-supervised dimension reduction

Conference paper