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Adversarial Learning

2,112 papers

Papers per year

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Papers

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder NIPS 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks NIPS 2022
Random Normalization Aggregation for Adversarial Defense NIPS 2022
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NIPS 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NIPS 2022
Invariance-Aware Randomized Smoothing Certificates NIPS 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training NIPS 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints NIPS 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks NIPS 2022
Robustness Disparities in Face Detection NIPS 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NIPS 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NIPS 2022
Robust Models are less Over-Confident NIPS 2022
Context-Aware Transfer Attacks for Object Detection AAAI 2022
Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning AAAI 2022
Attacking Video Recognition Models with Bullet-Screen Comments AAAI 2022
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data AAAI 2022
Backdoor Attacks on the DNN Interpretation System AAAI 2022
Adversarial Robustness in Multi-Task Learning: Promises and Illusions AAAI 2022
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes AAAI 2022
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations AAAI 2022
Adversarial Attack for Asynchronous Event-Based Data AAAI 2022
Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022
Logit Perturbation AAAI 2022
A Fusion-Denoising Attack on InstaHide with Data Augmentation AAAI 2022