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Papers
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
EMNLP 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
AAAI 2024
Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design
EMNLP 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
Improving Alignment and Robustness with Circuit Breakers
NeurIPS 2024
Incremental Randomized Smoothing Certification
ICLR 2024
Initialization Matters for Adversarial Transfer Learning
CVPR 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
NeurIPS 2024
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
AAAI 2024
Language-Driven Anchors for Zero-Shot Adversarial Robustness
CVPR 2024
Learning Bregman Divergences with Application to Robustness
NeurIPS 2024
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
AAAI 2024
Learning predictable and robust neural representations by straightening image sequences
NeurIPS 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation
WACV 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
EMNLP 2024
Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models
COLING 2024
LipSim: A Provably Robust Perceptual Similarity Metric
ICLR 2024
Lyapunov-Stable Deep Equilibrium Models
AAAI 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
CVPR 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
NeurIPS 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)
IJCAI 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off
L4DC 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NeurIPS 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024