conftrace_
← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4,854 papers

Papers per year

Papers

AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021
VoiceMixer: Adversarial Voice Style Mixup NIPS 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NIPS 2021
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NIPS 2021
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples NIPS 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations NIPS 2021
Accumulative Poisoning Attacks on Real-time Data NIPS 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NIPS 2021
On the Existence of The Adversarial Bayes Classifier NIPS 2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling NIPS 2021
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience NIPS 2021
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness NIPS 2021
Improving Robustness using Generated Data NIPS 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NIPS 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps NIPS 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization NIPS 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NIPS 2021
On Success and Simplicity: A Second Look at Transferable Targeted Attacks NIPS 2021
Adversarial Robustness with Semi-Infinite Constrained Learning NIPS 2021
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation NIPS 2021
Regulating algorithmic filtering on social media NIPS 2021
Do Wider Neural Networks Really Help Adversarial Robustness? NIPS 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems NIPS 2021
Random Noise Defense Against Query-Based Black-Box Attacks NIPS 2021
Fair Classification with Adversarial Perturbations NIPS 2021