model defense

CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations ACL 2025 Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling IJCAI 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 SDD: Self-Degraded Defense against Malicious Fine-tuning ACL 2025 TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice NAACL 2025 Turning Logic Against Itself: Probing Model Defenses Through Contrastive Questions EMNLP 2025 Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024 Cross-Task Defense: Instruction-Tuning LLMs for Content Safety NAACL 2024 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition NeurIPS 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NeurIPS 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NeurIPS 2024 TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NeurIPS 2024 Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features ICLR 2024 Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023 [MASK] Insertion: a robust method for anti-adversarial attacks EACL 2023 Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023 Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model ACL 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022 BFClass: A Backdoor-free Text Classification Framework EMNLP 2021 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 Improving Adversarial Robustness via Guided Complement Entropy ICCV 2019 The Odds are Odd: A Statistical Test for Detecting Adversarial Examples ICML 2019 Generating Adversarial Examples with Adversarial Networks IJCAI 2018