adversarial machine learning

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers AAAI 2026 Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition AAAI 2026 Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems ACL 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Poisoning Bayesian Inference via Data Deletion and Replication AISTATS 2025 COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks AAAI 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NeurIPS 2024 Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection ICLR 2024 Scanning Trojaned Models Using Out-of-Distribution Samples NeurIPS 2024 Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023 Architectural Backdoors in Neural Networks CVPR 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Backdooring Neural Code Search ACL 2023 CBD: A Certified Backdoor Detector Based on Local Dominant Probability NeurIPS 2023 Color Backdoor: A Robust Poisoning Attack in Color Space CVPR 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 Few-shot Backdoor Attacks via Neural Tangent Kernels ICLR 2023 Global-Local Regularization Via Distributional Robustness AISTATS 2023 Poisoning-Based Backdoor Attacks in Computer Vision AAAI 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023 A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022 Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling EMNLP 2022 Backdoor Attacks on the DNN Interpretation System AAAI 2022