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Adversarial Learning

4854 directly classified papers

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Papers

Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator INTERSPEECH 2024
MALT Powers Up Adversarial Attacks NIPS 2024
Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods COLING 2024
USD-AC: Unsupervised Speech Disentanglement for Accent Conversion INTERSPEECH 2024
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding INTERSPEECH 2024
Game-Theoretic Unlearnable Example Generator AAAI 2024
Promoting Counterfactual Robustness through Diversity AAAI 2024
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024
Stronger and Transferable Node Injection Attacks AAAI 2024
Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information NAACL 2024
Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks NAACL 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024
Toward More Generalized Malicious URL Detection Models AAAI 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024
Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024
Detection and Defense of Unlearnable Examples AAAI 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NIPS 2024
Textual-Driven Adversarial Purification for Speaker Verification INTERSPEECH 2024
Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches INTERSPEECH 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024