conftrace_

machine learning security

19 papers

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Co-occurring keywords · papers mentioning both

backdoor attack (8) adversarial attack (6) data poisoning (6) adversarial learning (6) adversarial defense (3) adversarial example (2) robust training (2) adversarial training (2) adversarial machine learning (2) self-supervised learning (2)

Papers

Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping AAAI 2026 CAMH: Advancing Model Hijacking Attack in Machine Learning AAAI 2025 Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Invisible Backdoor Attack against Self-supervised Learning CVPR 2025 Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency ICLR 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification NeurIPS 2024 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023 Exploring Practical Vulnerabilities of Machine Learning-based Wireless Systems NSDI 2023 Rethinking Backdoor Attacks ICML 2023 BagFlip: A Certified Defense Against Data Poisoning NeurIPS 2022 Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019 Nash Equilibria of Static Prediction Games NeurIPS 2009