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Adversarial Learning

4854 directly classified papers

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Papers

Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection INTERSPEECH 2023
Adversarial Diffusion Probability Model For Cross-domain Speaker Verification Integrating Contrastive Loss INTERSPEECH 2023
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals INTERSPEECH 2023
Fooling Speaker Identification Systems with Adversarial Background Music INTERSPEECH 2023
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems INTERSPEECH 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models EACL 2023
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures INTERSPEECH 2023
Origins of Low-Dimensional Adversarial Perturbations AISTATS 2023
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NIPS 2023
Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks EACL 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023
Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues} EACL 2023
Responsible AI (RAI) Games and Ensembles NIPS 2023
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization NIPS 2023
Learning to Ignore Adversarial Attacks EACL 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents NIPS 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NIPS 2023
Regret Matching+: (In)Stability and Fast Convergence in Games NIPS 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
Adversarial Learning for Feature Shift Detection and Correction NIPS 2023
Learning the Legibility of Visual Text Perturbations EACL 2023