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Whether we're shaping the future of sustainability, or optimizing algorithms, or even exploring epidemiological studies, Google Research strives to continuously progress science, advance society, and improve the lives of billions of people.
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A cost-effective and scalable way AI is helping to mitigate aviation’s climate impact
    
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                Bidding Languages for Combinatorial Auctions
              
            
          
        
        
      
              
                Profile-based string kernels for remote homology detection and motif extraction
              
            
          
        
        
                          Rui Kuang
                        
                      
                    
                          Ke Wang
                        
                      
                      
                          Kai Wang
                        
                      
                      
                          Mahira Siddiqi
                        
                      
                      
                          Yoav Freund
                        
                      
                      
                          Christina Leslie
                        
                      
                      
            Journal of Bioinformatics and Computational Biology, 3 (2005), pp. 527-550
          
          
        
        
          
            
              Expert and Non-Expert Attitudes towards (Secure) Instant Messaging
            
          
        
        
          
            
              
                
                  
                    
                
              
            
              
                
                  
                    
                    
    
    
    
    
    
                      
                        Sauvik Das
                      
                    
                  
              
            
              
                
                  
                    
                    
                  
              
            
              
                
                  
                    
                    
                      
                        Iulia Ion
                      
                    
                  
              
            
              
                
                  
                    
                    
                  
              
            
          
          
          
          
            Twelfth Symposium on Usable Privacy and Security (SOUPS 2016), USENIX Association, Denver, CO, pp. 147-157
          
          
        
        
        
          
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              In this paper, we present results from an online survey with 1,510 participants and an interview study with 31 participants on (secure) mobile instant messaging. Our goal was to uncover how much of a role security and privacy played in people's decisions to use a mobile instant messenger. In the interview study, we recruited a balanced sample of IT security experts and non-experts, as well as an equal split of users of mobile instant messengers that are advertised as being more secure and/or private (e.g., Threema) than traditional mobile IMs. Our results suggest that peer influence is what primarily drives people to use a particular mobile IM, even for secure/private IMs, and that security and privacy play minor roles.
              
  
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