Search Results for author: Hengtong Zhang

Found 8 papers, 1 papers with code

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness

no code implementations EMNLP 2021 Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li

To address this problem, we propose a training framework with certified robustness to eliminate the causes that trigger the generation of profanity.

Dialogue Generation Style Transfer

Towards Poisoning Fair Representations

no code implementations28 Sep 2023 Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

Fair machine learning seeks to mitigate model prediction bias against certain demographic subgroups such as elder and female.

Bilevel Optimization Data Poisoning +2

Towards Controllable Diffusion Models via Reward-Guided Exploration

no code implementations14 Apr 2023 Hengtong Zhang, Tingyang Xu

By formulating data samples' formation as a Markov denoising process, diffusion models achieve state-of-the-art performances in a collection of tasks.

Denoising Reinforcement Learning (RL)

Practical Data Poisoning Attack against Next-Item Recommendation

no code implementations7 Apr 2020 Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

In real-world recommendation systems, the cost of retraining recommendation models is high, and the interaction frequency between users and a recommendation system is restricted. Given these real-world restrictions, we propose to let the agent interact with a recommender simulator instead of the target recommendation system and leverage the transferability of the generated adversarial samples to poison the target system.

Data Poisoning Recommendation Systems

Data Poisoning Attack against Knowledge Graph Embedding

no code implementations26 Apr 2019 Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

Knowledge graph embedding (KGE) is a technique for learning continuous embeddings for entities and relations in the knowledge graph. Due to its benefit to a variety of downstream tasks such as knowledge graph completion, question answering and recommendation, KGE has gained significant attention recently.

Data Poisoning Knowledge Graph Completion +2

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