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Papers
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
AAAI 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
CVPR 2024
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
ICLR 2024
Branch-GAN: Improving Text Generation with (not so) Large Language Models
ICLR 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
ICLR 2024
Chain Association-based Attacking and Shielding Natural Language Processing Systems
ACML 2024
Clarifying the Behavior and the Difficulty of Adversarial Training
AAAI 2024
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
ICML 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
ICLR 2024
DAFA: Distance-Aware Fair Adversarial Training
ICLR 2024
Data-Free Hard-Label Robustness Stealing Attack
AAAI 2024
DataFreeShield: Defending Adversarial Attacks without Training Data
ICML 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
NeurIPS 2024
Decoupled Kullback-Leibler Divergence Loss
NeurIPS 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
NeurIPS 2024
Detection and Defense of Unlearnable Examples
AAAI 2024
Domain Adaptation with Cauchy-Schwarz Divergence
UAI 2024
Doubly Robust Instance-Reweighted Adversarial Training
ICLR 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes
SemEval 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
AAAI 2024
Efficient Adversarial Training in LLMs with Continuous Attacks
NeurIPS 2024
Efficient local linearity regularization to overcome catastrophic overfitting
ICLR 2024