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Linguistic Steganography on Twitter: Hierarchical Language Modelling with Manual Interaction Alex Wilson, Phil Blunsom, and Andrew D. Ker University of Oxford Twitter Twitter is a social networking site, launched in 2006. Users post


  1. Linguistic Steganography on Twitter: Hierarchical Language Modelling with Manual Interaction Alex Wilson, Phil Blunsom, and Andrew D. Ker University of Oxford

  2. Twitter ◮ Twitter is a social networking site, launched in 2006. ◮ Users post short messages ( tweets ), at most 140 characters long. ◮ 500M tweets posted each day, from 200M active users. ◮ Twitter a suitable setting because linguistic steganography generally requires the steganographer to act as the cover source.

  3. Twitter Steganography ◮ Alice has a Twitter account, and has posted some number of innocent tweets, before starting to send steganographic messages. ◮ Bob shares a key with Alice, and has access to her tweets. ◮ We assume the Warden is human.

  4. CoverTweet =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3

  5. CoverTweet gosh now I really don’t want my beard to go away !"#$% /$, *+,-"+. !"#$% (&$)" &'()*+,'-(.#,) 4#".%'59:5 4#'*.56#*.,'.#,)5 8%$,)656#*.,'.#,)5 000 000 000 &'$$& &'$$& /00123 ;(*<5=("7% -%(*7'% -%(*7'% 1%+234"%5$. &'$$&3 1%+234"%536&7$68"#$%692&"65:-&9;-$63&$)" 6"<=$8&3

  6. CoverTweet gosh today i truly don’t want anything my beard to move away gosh now i genuinely don’t want my beard to go away god now i truly do not want my beard to go away gosh today i really don’t want my beard to go away ... gosh now I really don’t want my beard to go away gosh now I really don’t want to my barbe of going away gosh now I genuinely just don’t wanna my beard to go away gosh there, i really don’t wanna my beard to go away gosh now I really don’t mean my beard to get away gosh now I truly don’t want my beard of going away !"#$% /$, *+,-"+. !"#$% (&$)" &'()*+,'-(.#,) 4#".%'59:5 4#'*.56#*.,'.#,)5 8%$,)656#*.,'.#,)5 000 000 000 &'$$& &'$$& /00123 ;(*<5=("7% -%(*7'% -%(*7'% 1%+234"%5$. &'$$&3 1%+234"%536&7$68"#$%692&"65:-&9;-$63&$)" 6"<=$8&3

  7. CoverTweet gosh today i truly don’t want anything my beard to move away gosh now i genuinely don’t want my beard to go away god now i truly do not want my beard to go away gosh today i really don’t want my beard to go away ... gosh now I really don’t want to my barbe of going away gosh now I genuinely just don’t wanna my beard to go away gosh there, i really don’t wanna my beard to go away gosh now I really don’t mean my beard to get away gosh now I truly don’t want my beard of going away =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 (&$)"1&'$$&2 '3&415"%%$5& 6+,-"+. =%%*>$%1?#743%1)'1%)3>'1'8@36)%

  8. CoverTweet gosh today i truly don’t want anything my beard to move away 0100 gosh now i genuinely don’t want my beard to go away 0100 god now i truly do not want my beard to go away 1100 gosh today i really don’t want my beard to go away 0110 ... gosh now I really don’t want to my barbe of going away 0001 gosh now I genuinely just don’t wanna my beard to go away 0100 gosh there, i really don’t wanna my beard to go away 1101 gosh now I really don’t mean my beard to get away 0110 gosh now I truly don’t want my beard of going away 0100 =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 (&$)"1&'$$&2 '3&415"%%$5& 6+,-"+. =%%*>$%1?#743%1)'1%)3>'1'8@36)%

  9. CoverTweet gosh today i truly don’t want anything my beard to move away 0100 gosh now i genuinely don’t want my beard to go away 0100 god now i truly do not want my beard to go away 1100 gosh today i really don’t want my beard to go away 0110 0100 gosh today i truly don’t want anything my beard to move away ... 0100 gosh now i genuinely don’t want my beard to go away gosh now I really don’t want to my barbe of going away 0001 0100 gosh now I genuinely just don’t wanna my beard to go away gosh now I genuinely just don’t wanna my beard to go away 0100 0100 gosh now I truly don’t want my beard of going away gosh there, i really don’t wanna my beard to go away 1101 gosh now I really don’t mean my beard to get away 0110 gosh now I truly don’t want my beard of going away 0100 =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 (&$)"1&'$$&2 '3&415"%%$5& 6+,-"+. =%%*>$%1?#743%1)'1%)3>'1'8@36)%

  10. CoverTweet gosh today i truly don’t want anything my beard to move away gosh now i genuinely don’t want my beard to go away gosh now I genuinely just don’t wanna my beard to go away gosh now I truly don’t want my beard of going away =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 1+23$.45672) 8%6&4.76&"%&7"249$+65%$

  11. CoverTweet gosh today i truly don’t want anything my beard to move away gosh now i genuinely don’t want my beard to go away gosh now i genuinely don’t want my beard to go away gosh now I genuinely just don’t wanna my beard to go away gosh now I genuinely just don’t wanna my beard to go away gosh now I truly don’t want my beard of going away gosh now I truly don’t want my beard of going away gosh today i truly don’t want anything my beard to move away =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 1+23$.45672) 8%6&4.76&"%&7"249$+65%$

  12. CoverTweet gosh today i truly don’t want anything my beard to move away gosh now i genuinely don’t want my beard to go away gosh now i genuinely don’t want my beard to go away gosh now I genuinely just don’t wanna my beard to go away gosh now I genuinely just don’t wanna my beard to go away gosh now I truly don’t want my beard of going away gosh now I truly don’t want my beard of going away gosh today i truly don’t want anything my beard to move away =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 1+23$.45672) 8%6&4.76&"%&7"249$+65%$

  13. CoverTweet gosh now I really don’t want my beard to go away gosh now i genuinely don’t want my beard to go away =7*63 /$, *+,-"+. !"#$% (&$)" !"#$%&'"(#)*'$ 0*7)3"1891 0*"%)12*%)'")*'$1 536'$212*%)'")*'$1 000 000 000 &'$$& &'$$& +,,-./ :#%;1<#743 (3#%4"3 (3#%4"3 (&$)"6&'$$&3 ;+2<$.6=372) 1%+234"%5$. '7&869"%%$9& &'$$&3 >%3&6.73&"%&7"265$+3=%$ :+,-"+.

  14. Statistical Machine Translation ◮ Model the probability that a stego sentence s is a translation of cover sentence c (Pr( s | c )). ◮ Bayes’ law: Pr( s | c ) = Pr( c | s ) Pr( s ) Pr( c )

  15. Statistical Machine Translation ◮ Model the probability that a stego sentence s is a translation of cover sentence c (Pr( s | c )). ◮ Bayes’ law: Pr( s | c ) = Pr( c | s ) Pr( s ) Pr( c )

  16. Statistical Machine Translation ◮ Model the probability that a stego sentence s is a translation of cover sentence c (Pr( s | c )). ◮ Bayes’ law: Pr( s | c ) = Pr( c | s )Pr( s ) Pr( c )

  17. Language Modelling ◮ Our stego sentence s is made up of words w 1 , . . . , w T . T � Pr( w 1 , . . . , w T ) = Pr( w 1 ) Pr( w i | w 1 , . . . , w i − 1 ) i =2 T � ≈ Pr( w 1 ) Pr( w 2 | w 1 ) Pr( w i | w i − 1 , w i − 2 ) i =3 ◮ This is a 2nd order Markov model

  18. Language Modelling ◮ These probabilities are calculated using the maximum likelihood estimation (MLE): Pr( sat | the , cat ) = count ( the cat sat ) count ( the cat ) ◮ Counts gathered from large text corpora (here 72M tweets). In practice, the counts are smoothed to avoid probabilities of 0.

  19. Alice’s Language Model ◮ What data can we use to train the language model? ◮ We need to train on cover data, of which we don’t have enough of (a few hundred from Alice). ◮ We do have a huge amount of other twitter data (500M per day!). ◮ This is the problem of language model adaptation .

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