conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Learning Types
Deep Learning
›
Learning Types
›
Robustness
133 papers
Papers per year
2013: 1
1
2016: 1
1
2018: 1
1
2019: 11
11
2020: 14
14
2021: 17
17
2022: 28
28
2023: 21
21
2024: 21
21
2025: 6
6
2026: 12
12
Papers
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
NIPS 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms
AAAI 2024
Negative Pre-aware for Noisy Cross-Modal Matching
AAAI 2024
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification
AAAI 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
AAAI 2024
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
ACL 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
CVPR 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness
CVPR 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation
CVPR 2024
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
EMNLP 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
EMNLP 2024
Irrelevant Alternatives Bias Large Language Model Hiring Decisions
EMNLP 2024
Optimal Transport Model Distributional Robustness
NIPS 2023
Wasserstein distributional robustness of neural networks
NIPS 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
NIPS 2023
Robustness Guarantees for Adversarially Trained Neural Networks
NIPS 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
NIPS 2023
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses
AAAI 2023
Language Model Pre-training on True Negatives
AAAI 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
ACL 2023
Evaluating Paraphrastic Robustness in Textual Entailment Models
ACL 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
ACL 2023
HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models
ACL 2023
<
1
2
3
4
5
6
>