Publications

• DENOASR: Debiasing ASRs through Selective Denoising.
  Anand Kumar Rai, Siddharth D Jaiswal, Shubham Prakash, Bendi Pragnya Sree, Animesh Mukherjee
  IEEE ICKG 2024 [PDF] [Preprint]
• Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems.
  Siddharth D Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee
  AAAI/ACM AIES 2024 [PDF] [Preprint]
• A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos.
  Anand Kumar Rai, Siddharth D Jaiswal, Animesh Mukherjee
  AAAI ICWSM 2024 [PDF] [Preprint]
• Auditing Gender Analyzers on Text Data.
  Siddharth D Jaiswal, Ankit Kumar Verma, Animesh Mukherjee
  ASONAM 2023 [PDF] [Preprint] [Slides]
• Uncovering Biases in Face Recognition Systems.
  Siddharth D Jaiswal
  ECAI 2023 Doctoral Consortium [Accepted Abstract]
• A History of Diversity in The Web (Conference).
  Siddharth D Jaiswal and Animesh Mukherjee
  ACM Web Conference 2023 History of the Web [PDF] [Video Demo]
• Platform Governance: Past, Present and Future.
  Mithun Das, Abhisek Dash, Siddharth D Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukerjee
  ACM GetMobile: Mobile Computing and Communications, Volume 26 Issue 1 [Article]
• Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items.
  Siddharth D Jaiswal and Animesh Mukherjee
  ACM CHI 2022 Case Studies [PDF] [Preprint] [Slides] [Video Presentation] [Video Demo]
• Two-Face: Adversarial Audit of Commercial Face Recognition Systems.
  Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee
  AAAI ICWSM 2022 [PDF] [Preprint] [Media Coverage]
• Streaming Partitioning and Distributed Analytics on Large Graphs.
  M.Tech (Research) Thesis IISc [PDF]
• A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs.
  Siddharth D Jaiswal and Yogesh Simmhan
  IEEE HPBDC 2019 (in conjunction with IPDPS 2019) [PDF]