adversarial input

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models AAAI 2025 Automating Steering for Safe Multimodal Large Language Models EMNLP 2025 Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models NAACL 2025 DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models EMNLP 2025 Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025 Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications ACL 2025 Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers EMNLP 2025 Finding Adversarial Inputs for Heuristics using Multi-level Optimization NSDI 2024 Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees AAAI 2024 What Makes and Breaks Safety Fine-tuning? A Mechanistic Study NeurIPS 2024 Fully Dynamic Online Selection through Online Contention Resolution Schemes AAAI 2023 Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs AAAI 2023 Fast Geometric Projections for Local Robustness Certification ICLR 2021 i-Algebra: Towards Interactive Interpretability of Deep Neural Networks AAAI 2021 Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment Interspeech 2019 Robust Neural Machine Translation with Doubly Adversarial Inputs ACL 2019 Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input NAACL 2018