model robustness

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Evaluating ChatGPT against Functionality Tests for Hate Speech Detection COLING 2024 Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection EMNLP 2024 Evaluating the Robustness of Adverse Drug Event Classification Models using Templates ACL 2024 Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024 Exploring the Robustness of Text-to-Speech Synthesis Based on Diffusion Probabilistic Models to Heavily Noisy Transcriptions Interspeech 2024 Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators ACL 2024 Fight Back Against Jailbreaking via Prompt Adversarial Tuning NeurIPS 2024 Fine-grained Control of Generative Data Augmentation in IoT Sensing NeurIPS 2024 Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024 Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024 From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking EMNLP 2024 Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models CVPR 2024 Gender and Language Identification in Multilingual Models of Speech: Exploring the Genericity and Robustness of Speech Representations Interspeech 2024 Generalizable Sarcasm Detection is Just Around the Corner, of Course! NAACL 2024 Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis ACL 2024 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024 Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset NAACL 2024 Improving Multilingual ASR Robustness to Errors in Language Input Interspeech 2024 Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding EMNLP 2024 Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models CVPR 2024 Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024 Knowledge Conflicts for LLMs: A Survey EMNLP 2024 Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ACL 2024 Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions NAACL 2024