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Deep Learning
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Adversarial Learning
2063 directly classified papers
Papers per year
2010: 2
2014: 1
2015: 2
2016: 6
2017: 34
2018: 132
2019: 216
2020: 301
2021: 296
2022: 301
2023: 239
2024: 276
2025: 254
2026: 3
Papers
Towards Improving Adversarial Training of NLP Models
EMNLP 2021
APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing
EMNLP 2021
TAG: Gradient Attack on Transformer-based Language Models
EMNLP 2021
ARCH: Efficient Adversarial Regularized Training with Caching
EMNLP 2021
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
EMNLP 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
EMNLP 2021
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation
EMNLP 2021
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
EMNLP 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently
EMNLP 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP 2021
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation
EMNLP 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
NIPS 2021
Learning Transferable Adversarial Perturbations
NIPS 2021
Improving Calibration through the Relationship with Adversarial Robustness
NIPS 2021
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
NIPS 2021
What Matters for Adversarial Imitation Learning?
NIPS 2021
Adversarial Reweighting for Partial Domain Adaptation
NIPS 2021
Graph Adversarial Self-Supervised Learning
NIPS 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
NIPS 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
NIPS 2021
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
NIPS 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
NIPS 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense
NIPS 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models
NIPS 2021
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