adversarial example

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs ACL 2025 Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025 Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment ICCV 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 Training Robust Ensembles Requires Rethinking Lipschitz Continuity ICLR 2025 Transitive self-consistency evaluation of NLI models without gold labels EMNLP 2025 Trick or Neat: Adversarial Ambiguity and Language Model Evaluation ACL 2025 ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025 VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025 A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation EACL 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences NeurIPS 2024 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks NeurIPS 2024 Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024 Adversarial Math Word Problem Generation EMNLP 2024 Arabic Synonym BERT-based Adversarial Examples for Text Classification EACL 2024 Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning ICML 2024 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NeurIPS 2024 Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition Interspeech 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ICLR 2024 Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective NeurIPS 2024 Context-aware Adversarial Attack on Named Entity Recognition EACL 2024 DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain NeurIPS 2024