10 citations · 24 across the 4 of their papers we have counts for
4 papers
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
Haoqin Tu, Zhongliang Yang, Jinshuai Yang +2
Controllable text generation has taken a gigantic step forward these days. Yet existing methods are either constrained in a one-off pattern or not efficient enough for receiving mu…
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Haoqin Tu, Zhongliang Yang, Jinshuai Yang +1
Variational Auto-Encoder (VAE) has become the de-facto learning paradigm in achieving representation learning and generation for natural language at the same time. Nevertheless, ex…
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models
Siyu Zhang, Zhongliang Yang, Haoqin Tu +2
In this letter, we explored generative image steganography based on autoregressive models. We proposed Pixel-Stega, which implements pixel-level information hiding with autoregress…
Provably Secure Generative Linguistic Steganography
Siyu Zhang, Zhongliang Yang, Jinshuai Yang +1
Generative linguistic steganography mainly utilized language models and applied steganographic sampling (stegosampling) to generate high-security steganographic text (stegotext). H…