Goto

Collaborating Authors

 Industry




FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning

Neural Information Processing Systems

To bridge this gap, we model the strategic interactions between the defender and dynamic attackers as a minimax game. Based on the analysis of the game, we design an interactive defense mechanism FedGame. We prove that under mild assumptions, the global model trained with FedGame under backdoor attacks is close to that trained without attacks.



Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Zihao Wang

Neural Information Processing Systems

These additional behavior tokens will be augmented to the vocabulary of pretrained Multimodal Language Models. With this encoder, we then pack long-term multimodal interactions involving task instructions, memories, thoughts, observations, textual responses, behavior trajectories, etc .


TikTok creator ByteDance vows to curb AI video tool after Disney threat

The Guardian

ByteDance's new AI video tool Seedance 2.0 can generate videos based on just a few lines of text. ByteDance's new AI video tool Seedance 2.0 can generate videos based on just a few lines of text. Videos created by new Seedance 2.0 generator go viral, including one of Tom Cruise and Brad Pitt fighting Mon 16 Feb 2026 03.25 ESTLast modified on Mon 16 Feb 2026 03.29 EST ByteDance, the Chinese technology company behind TikTok, has said it will restrain its AI video-making tool, after threats of legal action from Disney and a backlash from other media businesses, according to reports. The AI video generator Seedance 2.0, released last week, has spooked Hollywood as users create realistic clips of movie stars and superheroes with just a short text prompt. On Friday, Walt Disney reportedly sent a cease-and-desist letter to ByteDance which accused it of supplying Seedance with a "pirated library" of the studio's characters, including those from Marvel and Star Wars, according to the US news outlet Axios. Disney's lawyers claimed that ByteDance committed a "virtual smash-and-grab" of their intellectual property, according to a report from the BBC.





Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Ziyi Yin 1 Muchao Y e

Neural Information Processing Systems

Vision-Language (VL) pre-trained models have shown their superiority on many multimodal tasks. However, the adversarial robustness of such models has not been fully explored. Existing approaches mainly focus on exploring the adversarial robustness under the white-box setting, which is unrealistic. In this paper, we aim to investigate a new yet practical task to craft image and text perturbations using pre-trained VL models to attack black-box fine-tuned models on different downstream tasks.