adversarial sample

Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems AAAI 2026 JPU: Bridging Jailbreak Defense and Unlearning via On-Policy Path Rectification ACL 2026 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025 ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models ICCV 2025 SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models CVPR 2025 SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection ICLR 2025 AttEXplore: Attribution for Explanation with model parameters eXploration ICLR 2024 Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries ICML 2024 Neural Codec-based Adversarial Sample Detection for Speaker Verification Interspeech 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint ICLR 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NeurIPS 2023 Efficient List-Decodable Regression using Batches ICML 2023 End-to-end Adversarial Sample Generation for Data Augmentation EMNLP 2023 FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering EACL 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 Outlier Robust Adversarial Training ACML 2023 ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI JMLR 2023 Adversarial Sample Generation for Aspect based Sentiment Classification AACL 2022 Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model ACL 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022