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Found 6 papers, 3 papers with code
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
These attacks in our attack suite assume different adversary knowledge and aim to extract different types of sensitive information from mobility data, providing a holistic privacy risk assessment for POI recommendation models.
Evading Watermark based Detection of AI-Generated Content
Specifically, a watermark is embedded into an AI-generated content before it is released.
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
Existing certified defenses against adversarial point clouds suffer from a key limitation: their certified robustness guarantees are probabilistic, i. e., they produce an incorrect certified robustness guarantee with some probability.
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
In this work, we take the first step to analyze the limitations of existing backdoor attacks and propose new DPBAs called CorruptEncoder to CL.
Multimodal Motion Prediction with Stacked Transformers
Predicting multiple plausible future trajectories of the nearby vehicles is crucial for the safety of autonomous driving.
Style Mixer: Semantic-aware Multi-Style Transfer Network
Recent neural style transfer frameworks have obtained astonishing visual quality and flexibility in Single-style Transfer (SST), but little attention has been paid to Multi-style Transfer (MST) which refers to simultaneously transferring multiple styles to the same image.
